19.4.3.19 Image Manipulation -- Sampling, Reduction, Decimation, General Size Changes, Resizing

Chapter Contents (Back)
Sampling. Downsampling. Resizing. Scaling. Decimation. The reverse of super resolution

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And:
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Sampling conversion, Rectangular sampling, Quincunx sampling, Morphological filter BibRef

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IP(6), No. 9, September 1997, pp. 1305-1315.
IEEE DOI 9709
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Earlier: ICPR94(C:93-97).
IEEE DOI 9410
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Dvorkind, T.G., Eldar, Y.C.,
Robust and Consistent Sampling,
SPLetters(16), No. 9, September 2009, pp. 739-742.
IEEE DOI 0906
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Arias-Castro, E., Eldar, Y.C.,
Noise Folding in Compressed Sensing,
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IEEE DOI 1107
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Dodgson, N.A.,
Quadratic Interpolation for Image Resampling,
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Strohmer, T.,
Computationally Attractive Reconstruction of Band-Limited Images from Irregular Samples,
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Feichtinger, H.G., Strohmer, T.,
Fast iterative reconstruction of band-limited images from non-uniform sampling values,
CAIP93(82-89).
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Lee, C., Eden, M., Unser, M.,
High-Quality Image Resizing Using Oblique Projection Operators,
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IEEE DOI 9805
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Smith, B.H.,
Generalization of Spatially Variant Apodization to Noninteger Nyquist Sampling Rates,
IP(9), No. 6, June 2000, pp. 1088-1093.
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Tsang, P.W.M., Lee, W.T.,
Two-Dimensional Adaptive Decimation and Interpolation Scheme for Low Bit-Rate Image Coding,
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Kwon, O.J.[Oh-Joon],
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Dugad, R.[Rakesh], Ahuja, N.[Narendra],
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CirSysVideo(11), No. 4, April 2001, pp. 461-474.
IEEE Top Reference. 0104
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Earlier:
A Fast Scheme for Altering Resolution in the Compressed Domain,
CVPR99(I: 213-218).
IEEE DOI BibRef
And:
A Fast Scheme for Downsampling and Upsampling in the DCT Domain,
ICIP99(II:909-913).
IEEE DOI Compression. From DCT coefficients, generate a new version at different resolution. BibRef

Dugad, R., Ahuja, N.,
A scheme for spatial scalability using nonscalable encoders,
CirSysVideo(13), No. 10, October 2003, pp. 993-999.
IEEE Abstract. 0310
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Mukherjee, J., Mitra, S.K.,
Image resizing in the compressed domain using subband DCT,
CirSysVideo(12), No. 7, July 2002, pp. 620-627.
IEEE Top Reference. 0208
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Mukherjee, J., Mitra, S.K.,
Arbitrary resizing of images in DCT space,
VISP(152), No. 2, April 2005, pp. 155-164.
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BibRef
Earlier:
Resizing of images in the DCT space by arbitrary factors,
ICIP04(IV: 2801-2804).
IEEE DOI 0505
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Lu, A.C.[Ai-Chieh], Lien, F.[Fong],
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US_Patent6,483,605, Nov 19, 2002
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Kim, C.H.[Chun-Ho], Seong, S.M.[Si-Mun], Lee, J.A.[Jin-Aeon], Kim, L.S.[Lee-Sup],
Winscale: an image-scaling algorithm using an area pixel model,
CirSysVideo(13), No. 6, June 2003, pp. 549-553.
IEEE Abstract. 0307
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Park, H.W.[Hyun-Wook], Park, Y.S.[Young-Seo], Oh, S.K.[Seung-Kyun],
L/M-fold image resizing in block-DCT domain using symmetric convolution,
IP(12), No. 9, September 2003, pp. 1016-1034.
IEEE DOI 0308
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Oh, S.K.[Seung-Kyun], Park, H.W.[Hyun Wook],
Analysis of IDCT and Motion-Compensation Mismatches Between Spatial-Domain and Transform-Domain Motion-Compensated Coders,
CirSysVideo(15), No. 7, July 2005, pp. 835-843.
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Earlier:
Precision lifting method to reduce the mismatches between spatial- and transform-domain motion-compensated coders,
ICIP03(III: 821-824).
IEEE DOI 0312
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Ridge, J.[Justin],
Efficient transform-domain size and resolution reduction of images,
SP:IC(18), No. 8, September 2003, pp. 621-639.
Elsevier DOI 0309
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Park, Y., Park, H.,
Design and Analysis of an Image Resizing Filter in the Block-DCT Domain,
CirSysVideo(14), No. 2, February 2004, pp. 274-279.
IEEE Abstract. 0403
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Aho, E., Vanne, J., Kuusilinna, K., Hamalainen, T.D.,
Comments on 'Winscale: An Image-Scaling Algorithm Using an Area Pixel Model',
CirSysVideo(15), No. 3, March 2005, pp. 454-455.
IEEE Abstract. 0501

See also Winscale: an image-scaling algorithm using an area pixel model. BibRef

van de Ville, D., Blu, T., Unser, M.,
On the Multidimensional Extension of the Quincunx Subsampling Matrix,
SPLetters(12), No. 2, February 2005, pp. 112-115.
IEEE Abstract. 0501
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Gallego, F.J.[F. Javier],
Stratified sampling of satellite images with a systematic grid of points,
PandRS(59), No. 6, November 2005, pp. 369-376.
Elsevier DOI 0602
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EL-Harby, A.A.,
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GVIP(05), No. V9, 2005, pp. xx-yy.
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Hamitouche, C.[Chafiaâ], Ibáñez, L.[Luis], Roux, C.[Christian],
Discrete Topology of (An*) Optimal Sampling Grids. Interest in Image Processing and Visualization,
JMIV(23), No. 3, November 2005, pp. 401-417.
Springer DOI 0510
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Ibanez, L., Hamitouche, C., Roux, C.,
Moment-based operator for sub-voxel surface extraction in medical imaging,
ICIP96(II: 277-280).
IEEE DOI 9610
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Lin, W., Dong, L.,
Adaptive Downsampling to Improve Image Compression at Low Bit Rates,
IP(15), No. 9, August 2006, pp. 2513-2521.
IEEE DOI 0608
BibRef

Coffey, M.A.,
Optimizing Multistage Decimation and Interpolation Processing: Part II,
SPLetters(14), No. 1, January 2007, pp. 24-26.
IEEE DOI 0701
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Salazar, C.L.[Carlos L.], Tran, T.D.[Trac D.],
A Complexity Scalable Universal DCT Domain Image Resizing Algorithm,
CirSysVideo(17), No. 4, April 2007, pp. 495-499.
IEEE DOI 0705
BibRef
Earlier:
A More Efficient and Video Friendly Spatial Resizing Algorithm,
ICIP06(877-880).
IEEE DOI 0610
BibRef
Earlier:
On resizing images in the DCT domain,
ICIP04(IV: 2797-2800).
IEEE DOI 0505
BibRef

Meisinger, K.[Katrin], Kaup, A.[Andre],
Spatiotemporal Selective Extrapolation for 3-D Signals and Its Applications in Video Communications,
IP(16), No. 9, September 2007, pp. 2348-2360.
IEEE DOI 0709
BibRef

Meisinger, K.[Katrin], Aach, T.[Til], Kaup, A.[Andre],
Spatio-Temporal Defect Pixel Interpolation using 3-D Frequency Selective Extrapolation,
ICIP07(IV: 149-152).
IEEE DOI 0709
BibRef

Seiler, J.[Jurgen], Kaup, A.[Andre],
Spatio-temporal prediction in video coding by spatially refined motion compensation,
ICIP08(2788-2791).
IEEE DOI 0810
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Stern, A.[Adrian],
Sampling of compact signals in offset linear canonical transform domains,
SIViP(1), No. 4, October 2007, pp. 359-367.
Springer DOI 0711
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Zeng, S.Z.H.[Steve Zhi-Hua],
Method and system for scaling images,
US_Patent7,277,101, Oct 2, 2007
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Lustig, M.[Michael], Kim, S.J.[Seung-Jean], Pauly, J.M.,
A Fast Method for Designing Time-Optimal Gradient Waveforms for Arbitrary k-Space Trajectories,
MedImg(27), No. 6, June 2008, pp. 866-873.
IEEE DOI 0711
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Kim, S.J.[Seung-Jean], Koh, K.M.[Kwang-Moo], Lustig, M.[Michael], Boyd, S.[Stephen],
An Efficient Method for Compressed Sensing,
ICIP07(III: 117-120).
IEEE DOI 0709
For sampling, as in MRI. BibRef

Yu, X., Yang, E.H., Wang, H.,
Down-Sampling Design in DCT Domain With Arbitrary Ratio for Image/Video Transcoding,
IP(18), No. 1, January 2009, pp. 75-89.
IEEE DOI 0812
BibRef

Li, X.[Xin], Zheng, Y.F.[Yun-Fei],
Patch-Based Video Processing: A Variational Bayesian Approach,
CirSysVideo(19), No. 1, January 2009, pp. 27-40.
IEEE DOI 0902
BibRef
Earlier: A2, A1:
Video Modeling by Spatio-Temporal Resampling and Bayesian Fusion,
ICIP07(VI: 405-408).
IEEE DOI 0709
BibRef

Nasim, F., Masud, S., Khan, N.,
Memory and architectural optimizations for soft video encoders,
RealTimeIP(4), No. 2, June 2009, pp. xx-yy.
Springer DOI 0905
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Khan, A.A.[Asmar A.], Masud, S.[Shahid],
Memory Efficient VLSI Architecture for QCIF to VGA Resolution Conversion,
PSIVT09(829-838).
Springer DOI 0901
BibRef

Bopardikar, A.S.[Ajit S.],
Image and video resizing based on a multilayer approach,
SPIE(Newsroom), December 9, 2009.
DOI Link 0912
New resizing techniques preserve both edge integrity and detail, producing more visually pleasing results than existing schemes. BibRef

Samadani, R., Mauer, T.A., Berfanger, D.M., Clark, J.H.,
Image Thumbnails That Represent Blur and Noise,
IP(19), No. 2, February 2010, pp. 363-373.
IEEE DOI 1002
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Samadani, R.[Ramin], Lim, S.H.[Suk Hwan], Tretter, D.[Dan],
Representative Image Thumbnails for Good Browsing,
ICIP07(II: 193-196).
IEEE DOI 0709
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Lin, C.C., Sheu, M.H., Liaw, C., Chiang, H.K.,
Fast First-Order Polynomials Convolution Interpolation for Real-Time Digital Image Reconstruction,
CirSysVideo(20), No. 9, September 2010, pp. 1260-1264.
IEEE DOI 1003
Image scaling. BibRef

Nimmagadda, Y., Kumar, K., Lu, Y.H.,
Adaptation of Multimedia Presentations for Different Display Sizes in the Presence of Preferences and Temporal Constraints,
MultMed(12), No. 7, 2010, pp. 650-664.
IEEE DOI 1011
BibRef

Jin, Y.[Yong], Liu, L.G.[Li-Gang], Wu, Q.B.[Qing-Biao],
Nonhomogeneous scaling optimization for realtime image resizing,
VC(26), No. 6-8, June 2010, pp. 769-778.
WWW Link. 1101
BibRef

Tan, E.L., Gan, W.S., Mitra, S.K.,
Fast arbitrary resizing of images in the discrete cosine transform domain,
IET-IPR(5), No. 1, February 2011, pp. 73-86.
DOI Link 1103
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Chen, D.Y.[Duan-Yu], Luo, Y.S.[Yi-Shiou],
Content-aware video resizing based on salient visual cubes,
JVCIR(22), No. 3, April 2011, pp. 226-236.
Elsevier DOI 1103
Seam carving, Visual cubes, Spatiotemporal analysis, Visual attention; Video resizing, Content aware, Visual continuity, Video dynamics BibRef

Zhang, Y., Zhao, D., Zhang, J., Xiong, R., Gao, W.,
Interpolation-Dependent Image Downsampling,
IP(20), No. 11, November 2011, pp. 3291-3296.
IEEE DOI 1110
BibRef

Beliakov, G., Bustince, H., Paternain, D.,
Image Reduction Using Means on Discrete Product Lattices,
IP(21), No. 3, March 2012, pp. 1070-1083.
IEEE DOI 1203
BibRef

Hua, S., Chen, G., Wei, H., Jiang, Q.,
Similarity measure for image resizing using SIFT feature,
JIVP(2012), No. 1 2012, pp. 6.
WWW Link. 1205
BibRef

Fang, L., Au, O.C., Tang, K., Wen, X., Wang, H.,
Novel 2-D MMSE Subpixel-Based Image Down-Sampling,
CirSysVideo(22), No. 5, May 2012, pp. 740-753.
IEEE DOI 1202
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Ling, Y.G.[Yong-Gen], Au, O.C., Tang, K., Pang, J.H.[Jia-Hao], Zeng, J.[Jin], Fang, L.[Lu],
An analytical study of subpixel-based image down-sampling patterns in frequency domain,
VCIP13(1-6)
IEEE DOI 1402
frequency-domain analysis BibRef

Fang, L., Au, O.C., Chen, Y., Katsaggelos, A.K., Wang, H., Wen, X.,
Joint Demosaicing and Subpixel-Based Down-Sampling for Bayer Images: A Fast Frequency-Domain Analysis Approach,
MultMed(14), No. 4, 2012, pp. 1359-1369.
IEEE DOI 1208
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Treibitz, T.[Tali], Schechner, Y.Y.[Yoav Y.],
Resolution loss without imaging blur,
JOSA-A(29), No. 8, August 2012, pp. 1516-1528.
WWW Link. 1208
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Earlier:
Recovery limits in pointwise degradation,
ICCP09(1-8).
IEEE DOI 1208
Limits on recovery. BibRef

Ma, J., Plonka, G., Hussaini, M.Y.,
Compressive Video Sampling With Approximate Message Passing Decoding,
CirSysVideo(22), No. 9, September 2012, pp. 1354-1364.
IEEE DOI 1209
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Luo, S.Q.[Si-Qiang], Zhang, J.P.[Jun-Ping], Zhang, Q.[Qian], Yuan, X.R.[Xiao-Ru],
Multi-operator image retargeting with automatic integration of direct and indirect seam carving,
IVC(30), No. 9, September 2012, pp. 655-667.
Elsevier DOI 1210
Image resizing, Multi-operator, Seam carving, Cropping method, Image similarity BibRef

Kutyniok, G.[Gitta], Shahram, M.[Morteza], Zhuang, X.S.[Xiao-Sheng],
ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm,
SIIMS(5), No. 4, 2012, pp. 1291-1332.
DOI Link 1211
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Zwart, C.M., Frakes, D.H.,
Segment Adaptive Gradient Angle Interpolation,
IP(22), No. 8, 2013, pp. 2960-2969.
IEEE DOI interpolation, image resizing, Image edge detection 1307
BibRef

Fang, L., Au, O.C., Cheung, N.M., Katsaggelos, A.K., Li, H., Zou, F.,
Luma-Chroma Space Filter Design for Subpixel-Based Monochrome Image Downsampling,
IP(22), No. 10, 2013, pp. 3818-3829.
IEEE DOI 1309
Subpixel rendering BibRef

Shen, J., Wang, D., Li, X.,
Depth-Aware Image Seam Carving,
Cyber(43), No. 5, 2013, pp. 1453-1461.
IEEE DOI 1309
Cameras. Preserve salient objects when changing size. Just noticeable difference model. Depth map used for seam carving. BibRef

Kirshner, H., Bourquard, A., Ward, J.P., Porat, M., Unser, M.,
Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling,
IP(23), No. 1, January 2014, pp. 413-423.
IEEE DOI 1402
autoregressive processes BibRef

Dong, J.[Jie], Ye, Y.[Yan],
Adaptive Downsampling for High-Definition Video Coding,
CirSysVideo(24), No. 3, March 2014, pp. 480-488.
IEEE DOI 1404
BibRef
Earlier: ICIP12(2925-2928).
IEEE DOI 1302
filtering theory BibRef

Battiato, S.[Sebastiano], Farinella, G.M.[Giovanni Maria], Puglisi, G.[Giovanni], Ravi, D.[Daniele],
Saliency-Based Selection of Gradient Vector Flow Paths for Content Aware Image Resizing,
IP(23), No. 5, May 2014, pp. 2081-2095.
IEEE DOI 1405
BibRef
Earlier:
Content-aware image resizing with seam selection based on Gradient Vector Flow,
ICIP12(2117-2120).
IEEE DOI 1302
image processing BibRef

Rotondo, T.[Tiziana], Ortis, A.[Alessandro], Battiato, S.[Sebastiano],
Generalised Gradient Vector Flow for Content-Aware Image Resizing,
CIAP19(II:260-270).
Springer DOI 1909
BibRef

Furnari, A.[Antonino], Farinella, G.M.[Giovanni Maria], Battiato, S.[Sebastiano],
An Experimental Analysis of Saliency Detection with Respect to Three Saliency Levels,
ACVR14(806-821).
Springer DOI 1504
BibRef

Choi, J., Jung, C., Lee, J., Kim, C.,
Determining the Existence of Objects in an Image and Its Application to Image Thumbnailing,
SPLetters(21), No. 8, August 2014, pp. 957-961.
IEEE DOI 1406
Accuracy BibRef

Simpson, G.[Greg], Wu, Y.H.[Yi Hwa],
Accuracy and Effort of Interpolation and Sampling: Can GIS Help Lower Field Costs?,
IJGI(3), No. 4, 2014, pp. 1317-1333.
DOI Link 1412
BibRef

Tang, Y.W.[Yun-Wei], Atkinson, P.M.[Peter M.], Zhang, J.X.[Jing-Xiong],
Downscaling remotely sensed imagery using area-to-point cokriging and multiple-point geostatistical simulation,
PandRS(101), No. 1, 2015, pp. 174-185.
Elsevier DOI 1503
Multiple-point geostatistics BibRef

Xiao, C.X.[Chun-Xia], Jin, L.Q.[Li-Qiang], Nie, Y.W.[Yong-Wei], Wang, R.F.[Ren-Fang], Sun, H.Q.[Han-Qiu], Ma, K.L.[Kwan-Liu],
Content-aware model resizing with symmetry-preservation,
VC(31), No. 2, February 2015, pp. 155-167.
Springer DOI 1503
BibRef

Daubechies, I., Saab, R.,
A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions,
SPLetters(22), No. 11, November 2015, pp. 2093-2096.
IEEE DOI 1509
bandlimited signals BibRef

Wang, Q.M.[Qun-Ming], Shi, W.Z.[Wen-Zhong], Atkinson, P.M., Pardo-Iguzquiza, E.,
A New Geostatistical Solution to Remote Sensing Image Downscaling,
GeoRS(54), No. 1, January 2016, pp. 386-396.
IEEE DOI 1601
geophysical image processing BibRef

Zhang, M.[Meng], Chen, T.H.[Ting-Huan], Shi, X.C.[Xu-Chao], Cao, P.[Peng],
Image Arbitrary-Ratio Down- and Up-Sampling Scheme Exploiting DCT Low Frequency Components and Sparsity in High Frequency Components,
IEICE(E99-D), No. 2, February 2016, pp. 475-487.
WWW Link. 1604
BibRef

No, H.S.[Hae-Sun], Kim, K.H.[Kang-Ho], Lee, S.H.[Sung-Hyun], Lim, Y.G.[Yong-Gyun], Rhee, D.W.[Dae-Woong],
Automatic image resizing in android application development,
IJCVR(6), No. 3, 2016, pp. 205-213.
DOI Link 1608
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Yao, C., Xiao, J., Tillo, T., Zhao, Y., Lin, C., Bai, H.,
Depth Map Down-Sampling and Coding Based on Synthesized View Distortion,
MultMed(18), No. 10, October 2016, pp. 2015-2022.
IEEE DOI 1610
image texture BibRef

Wang, J., Qu, Z., Chen, Y., Mei, T., Xu, M., Zhang, L., Lu, H.,
Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation,
CirSysVideo(26), No. 11, November 2016, pp. 2079-2092.
IEEE DOI 1609
Accuracy BibRef

Lee, W.[Wonjin], Jeon, G.G.[Gwang-Gil], Jeong, J.C.[Je-Chang],
Video thumbnail extraction for HEVC,
SP:IC(58), No. 1, 2017, pp. 282-286.
Elsevier DOI 1710
Video thumbnail BibRef

Liu, J., He, S., Lau, R.W.H.,
L_0-Regularized Image Downscaling,
IP(27), No. 3, March 2018, pp. 1076-1085.
IEEE DOI 1801
image sampling, matrix algebra, L0-regularized optimization framework, L0-regularized priors, salient edges preserving BibRef

Xu, J.[Jinlan], Kang, H.M.[Hong-Mei], Chen, F.L.[Fa-Lai],
Content-aware image resizing using quasi-conformal mapping,
VC(34), No. 3, March 2018, pp. 431-442.
WWW Link. 1802
BibRef

He, L., Zhang, H.,
Kernel K-Means Sampling for Nystrom Approximation,
IP(27), No. 5, May 2018, pp. 2108-2120.
IEEE DOI 1804
Gaussian processes, image sampling, image segmentation, learning (artificial intelligence), matrix algebra, kernel k-means BibRef

Fu, N., Huang, G., Zheng, L., Wang, X.,
Sub-Nyquist Sampling of Multiple Sinusoids,
SPLetters(25), No. 4, April 2018, pp. 581-585.
IEEE DOI 1804
image sampling, image sequences, Nyquist sampling interval, additional sampling channel, frequency ambiguity, time staggered BibRef

Pereira, O.J.R.[Osvaldo José Ribeiro], Melfi, A.J.[Adolpho José], Montes, C.R.[Célia Regina], Lucas, Y.[Yves],
Downscaling of ASTER Thermal Images Based on Geographically Weighted Regression Kriging,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Kaljahi, M.A.[Maryam Asadzadeh], Shivakumara, P.[Palaiahnakote], Idris, M.Y.I.[Mohd Yamani Idna], Anisi, M.H.[Mohammad Hossein], Blumenstein, M.[Michael],
A new image size reduction model for an efficient visual sensor network,
JVCIR(63), 2019, pp. 102573.
Elsevier DOI 1909
Visual sensor network, Image size reduction, Inter-redundancy, Intra-redundancy, Energy consumption, Quality of the image BibRef

Liu, C.Y.[Chou-Yuan], Chang, C.C.[Chin-Chen], Way, D.L.[Der-Lor], Tai, W.K.[Wen-Kai],
Image resizing using fuzzy inferences,
IET-IPR(13), No. 12, October 2019, pp. 2058-2066.
DOI Link 1911
BibRef

Sun, W., Chen, Z.,
Learned Image Downscaling for Upscaling Using Content Adaptive Resampler,
IP(29), 2020, pp. 4027-4040.
IEEE DOI 2002
Image resizing, downscaling, super-resolution, content adaptive, non-uniform resampling BibRef

Chai, X., Shao, F., Jiang, Q., Ho, Y.,
MSTGAR: Multioperator-Based Stereoscopic Thumbnail Generation With Arbitrary Resolution,
MultMed(22), No. 5, May 2020, pp. 1208-1219.
IEEE DOI 2005
Stereo image processing, Image resolution, Energy resolution, Visualization, depth adaptation BibRef

Zhu, S., He, Z., Meng, X., Zhou, J., Guo, Y., Zeng, B.,
A New Polyphase Down-Sampling-Based Multiple Description Image Coding,
IP(29), 2020, pp. 5596-5611.
IEEE DOI 2005
Image coding, Decoding, Image reconstruction, Discrete cosine transforms, Interpolation, Servers, deblocking BibRef

Wang, Q.M.[Qun-Ming], Tang, Y.J.[Yi-Jie], Atkinson, P.M.[Peter M.],
The effect of the point spread function on downscaling continua,
PandRS(168), 2020, pp. 251-267.
Elsevier DOI 2009
Remote sensing, Downscaling, Image fusion, Point spread function (PSF), Geostatistics BibRef

Dong, P.[Pan], Gao, L.[Lun], Zhan, W.F.[Wen-Feng], Liu, Z.[Zihan], Li, J.F.[Jiu-Feng], Lai, J.M.[Jia-Meng], Li, H.[Hua], Huang, F.[Fan], Tamang, S.K.[Sagar K.], Zhao, L.M.[Li-Min],
Global comparison of diverse scaling factors and regression models for downscaling Landsat-8 thermal data,
PandRS(169), 2020, pp. 44-56.
Elsevier DOI 2011
Thermal remote sensing, Land surface temperature, Downscaling, Spatial resolution, Landsat-8 BibRef

Xiao, M.Q.[Ming-Qing], Zheng, S.X.[Shu-Xin], Liu, C.[Chang], Wang, Y.L.[Yao-Long], He, D.[Di], Ke, G.L.[Guo-Lin], Bian, J.[Jiang], Lin, Z.C.[Zhou-Chen], Liu, T.Y.[Tie-Yan],
Invertible Image Rescaling,
ECCV20(I:126-144).
Springer DOI 2011
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Njuki, S.M.[Sammy M.], Mannaerts, C.M.[Chris M.], Su, Z.[Zhongbo],
An Improved Approach for Downscaling Coarse-Resolution Thermal Data by Minimizing the Spatial Averaging Biases in Random Forest,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Ho, M.M.[Minh-Man], Zhou, J.J.[Jin-Jia], He, G.[Gang],
RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling-Based Video Coding,
IP(30), 2021, pp. 1702-1715.
IEEE DOI 2101
Image coding, Image restoration, Degradation, Superresolution, Image reconstruction, Neural networks, Convolution, deep learning BibRef

He, G.[Gang], Xu, L.[Li], Lei, J.[Jie], Xie, W.Y.[Wei-Ying], Li, Y.S.[Yun-Song], Fan, Y.[Yibo], Zhou, J.J.[Jin-Jia],
Interlayer Restoration Deep Neural Network for Scalable High Efficiency Video Coding,
CirSysVideo(32), No. 5, May 2022, pp. 3217-3234.
IEEE DOI 2205
Image restoration, Encoding, Scalability, Image coding, Video coding, Signal to noise ratio, Neural networks, coding efficiency BibRef

Ho, M.M.[Minh-Man], He, G.[Gang], Wang, Z.[Zheng], Zhou, J.J.[Jin-Jia],
Down-sampling Based Video Coding with Degradation-aware Restoration-reconstruction Deep Neural Network,
MMMod20(I:99-110).
Springer DOI 2003
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Oriani, F., McCabe, M.F., Mariethoz, G.,
Downscaling Multispectral Satellite Images Without Colocated High-Resolution Data: A Stochastic Approach Based on Training Images,
GeoRS(59), No. 4, April 2021, pp. 3209-3225.
IEEE DOI 2104
Image resolution, Satellites, Data models, Training, Earth, Remote sensing, Histograms, Downscaling, machine learning, very high resolution BibRef

Launay, C.[Claire], Desolneux, A.[Agnès], Galerne, B.[Bruno],
Determinantal Point Processes for Image Processing,
SIIMS(14), No. 1, 2021, pp. 304-348.
DOI Link 2104
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Cho, S.I.[Sung In], Kang, S.J.[Suk-Ju],
Learning Methodologies to Generate Kernel-Learning-Based Image Downscaler for Arbitrary Scaling Factors,
IP(30), 2021, pp. 4526-4539.
IEEE DOI 2105
Kernel, Image resolution, Training, Image edge detection, Display systems, Information filters, Low-pass filters, pixel indexing with phase determination BibRef

Tang, Y.J.[Yi-Jie], Wang, Q.M.[Qun-Ming], Tong, X.H.[Xiao-Hua], Atkinson, P.M.[Peter M.],
Integrating spatio-temporal-spectral information for downscaling Sentinel-3 OLCI images,
PandRS(180), 2021, pp. 130-150.
Elsevier DOI 2109
Sentinel-3, Sentinel-2, Downscaling, Image fusion BibRef

Mangla, P.[Puneet], Singh, V.[Vedant], Havaldar, S.[Shreyas], Balasubramanian, V.[Vineeth],
On the benefits of defining vicinal distributions in latent space,
PRL(152), 2021, pp. 382-390.
Elsevier DOI 2112
Robustness, Calibration, Mixup, VRM, Common corruptions BibRef

Mîrt, A.[Andrei], Reiche, J.[Johannes], Verbesselt, J.[Jan], Herold, M.[Martin],
A Downsampling Method Addressing the Modifiable Areal Unit Problem in Remote Sensing,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Yang, Y.K.[Ya-Kun], Wang, A.H.[An-Hong], Bu, D.[Donghan], Feng, Z.[Zewen], Liang, J.[Jie],
AS-Net: An attention-aware downsampling network for point clouds oriented to classification tasks,
JVCIR(89), 2022, pp. 103639.
Elsevier DOI 2212
Point cloud, Downsampling, Attention, Constraint match, Classification task BibRef

Bui, A.T.[Anh Tuan],
A closed-form solution for conditional multidimensional scaling,
PRL(164), 2022, pp. 148-152.
Elsevier DOI 2212
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Stergiou, A.[Alexandros], Poppe, R.[Ronald],
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling,
IP(32), 2023, pp. 251-266.
IEEE DOI 2301
Kernel, Task analysis, Interpolation, Superresolution, Weight measurement, Visualization, Pooling, upsampling BibRef

Xiao, M.Q.[Ming-Qing], Zheng, S.X.[Shu-Xin], Liu, C.[Chang], Lin, Z.C.[Zhou-Chen], Liu, T.Y.[Tie-Yan],
Invertible Rescaling Network and Its Extensions,
IJCV(131), No. 1, January 2023, pp. 134-159.
Springer DOI 2301

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Tian, Y.[Yuan], Yan, Y.C.[Yi-Chao], Zhai, G.T.[Guang-Tao], Chen, L.[Li], Gao, Z.Y.[Zhi-Yong],
CLSA: A Contrastive Learning Framework With Selective Aggregation for Video Rescaling,
IP(32), 2023, pp. 1300-1314.
IEEE DOI 2303
Task analysis, Video compression, Transformers, Termination of employment, Superresolution, Kernel, Interpolation, video compression BibRef

Ghosh, S.[Sanjay], Garai, A.[Arpan],
Image downscaling via co-occurrence learning,
JVCIR(91), 2023, pp. 103766.
Elsevier DOI 2303
Image downscaling, Kernel filtering, Co-occurrence similarity BibRef

Huang, C.R.[Cheng-Rui], Sun, W.[Wanjie], Chen, Z.Z.[Zhen-Zhong],
Learned Scale-Arbitrary Image Downscaling for Non-Learnable Upscaling,
SPLetters(30), 2023, pp. 264-268.
IEEE DOI 2303
Finite element analysis, Image reconstruction, Task analysis, Feature extraction, Sun, Training, Costs, Image downscaling, scale-arbitrary BibRef

Sun, W.[Wanjie], Chen, Z.Z.[Zhen-Zhong],
Learning Many-to-Many Mapping for Unpaired Real-World Image Super-Resolution and Downscaling,
PAMI(46), No. 12, December 2024, pp. 9874-9889.
IEEE DOI 2411
Degradation, Training, Task analysis, Superresolution, Neural networks, Kernel, Hafnium, Super-resolution, downscaling, unsupervised learning BibRef

Zha, Y.F.[Yu-Fei], Li, F.[Fan], Zhang, P.[Peng], Huang, W.[Wei],
Conditional invertible image re-scaling,
PR(139), 2023, pp. 109459.
Elsevier DOI 2304
Invertible neural network, Image re-scaling, Information theory BibRef

Lin, Y.[Yu], Guo, J.[Jifa],
Fuzzy Geospatial Object-Based Membership Function Downscaling,
RS(15), No. 7, 2023, pp. 1911.
DOI Link 2304
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Xing, J.[Jinbo], Hu, W.B.[Wen-Bo], Xia, M.[Menghan], Wong, T.T.[Tien-Tsin],
Scale-Arbitrary Invertible Image Downscaling,
IP(32), 2023, pp. 4259-4274.
IEEE DOI 2308
Image restoration, Social networking (online), Image resolution, Image coding, Pipelines, Task analysis, Internet telephony, image compression BibRef

Li, N.Q.[Nian-Qiao], Yan, F.[Fei], Venegas-Andraca, S.E.[Salvador E.], Hirota, K.[Kaoru],
Quantum image scaling with applications to image steganography and fusion,
SP:IC(117), 2023, pp. 117015.
Elsevier DOI 2308
Quantum computing, HSL model, Image scaling, Image steganography, Image fusion BibRef

Occorsio, D.[Donatella], Ramella, G.[Giuliana], Themistoclakis, W.[Woula],
An Open Image Resizing Framework for Remote Sensing Applications and Beyond,
RS(15), No. 16, 2023, pp. 4039.
DOI Link 2309
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Tobin, K.[Kenneth], Sanchez, A.[Aaron], Esparza, D.[Daniela], Garcia, M.[Miguel], Ganta, D.[Deepak], Bennett, M.[Marvin],
Machine Learning Downscaling of SoilMERGE in the United States Southern Great Plains,
RS(15), No. 21, 2023, pp. 5120.
DOI Link 2311
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Sun, Y.J.[Yong-Jian], Deng, K.F.[Ke-Feng], Ren, K.J.[Kai-Jun], Liu, J.[Jia], Deng, C.J.[Chong-Jiu], Jin, Y.J.[Yong-Jun],
Deep learning in statistical downscaling for deriving high spatial resolution gridded meteorological data: A systematic review,
PandRS(208), 2024, pp. 14-38.
Elsevier DOI 2402
Deep learning, Gridded meteorological data, Spatial resolution, Statistical downscaling, Image super-resolution BibRef

Wang, L.W.[Li-Wen], Li, Q.[Qian], Peng, X.[Xuan], Lv, Q.[Qi],
A Temporal Downscaling Model for Gridded Geophysical Data with Enhanced Residual U-Net,
RS(16), No. 3, 2024, pp. 442.
DOI Link 2402
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Liu, D.F.[Deng-Feng], Guo, X.H.[Xiao-He], Wang, N.[Ning], Wu, Q.[Qin],
Lightweight Deep Neural Network Model With Padding-Free Downsampling,
SPLetters(31), 2024, pp. 865-869.
IEEE DOI 2404
Convolution, Computational modeling, Feature extraction, Mathematical models, Computational efficiency, Neural networks, neural network lightweighting BibRef

Zheng, L.M.[Li-Meng], Cao, B.[Biao], Na, Q.[Qiang], Qin, B.X.[Bo-Xiong], Bai, J.H.[Jun-Hua], Du, Y.M.[Yong-Ming], Li, H.[Hua], Bian, Z.J.[Zun-Jian], Xiao, Q.[Qing], Liu, Q.H.[Qin-Huo],
Estimation and Evaluation of 15 Minute, 40 Meter Surface Upward Longwave Radiation Downscaled from the Geostationary FY-4B AGRI,
RS(16), No. 7, 2024, pp. 1158.
DOI Link 2404
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Kang, E.S.[Eun Su], Chae, Y.J.[Yeon Jeong], Park, J.H.[Jae Hyeon], Cho, S.I.[Sung In],
DCID: A divide and conquer approach to solving the trade-off problem between artifacts caused by enhancement procedure in image downscaling,
SP:IC(126), 2024, pp. 117133.
Elsevier DOI 2406
Image downscaling, Artifact-least, Deep neural network BibRef

Wei, H.[Hao], Ge, C.Y.[Chen-Yang], Li, Z.Y.[Zhi-Yuan], Qiao, X.[Xin], Deng, P.[Pengchao],
Toward Extreme Image Rescaling With Generative Prior and Invertible Prior,
CirSysVideo(34), No. 7, July 2024, pp. 6181-6193.
IEEE DOI 2407
Image reconstruction, Superresolution, Task analysis, Image restoration, Visualization, Faces, Image color analysis, extreme scaling factors BibRef

Song, Z.[Zibo], Zhao, Q.[Qian], Meng, D.Y.[De-Yu],
HQ-IRN: Quantizing High-Frequency Features for Image Rescaling,
SPLetters(31), 2024, pp. 1985-1989.
IEEE DOI 2408
Image reconstruction, Task analysis, Costs, Convolution, Indexes, Vector quantization, Pipelines, Image rescaling, invertible neural network (INN) BibRef

Yang, L.R.[Li-Rong], Sun, C.[Cong],
Research on image scaling algorithm for granular image detection,
IET-IPR(18), No. 11, 2024, pp. 2974-2983.
DOI Link 2409
image processing, Kalman filters BibRef

Li, D.Y.[Ding-Yi], Liu, Y.[Yu], Wang, Z.F.[Zeng-Fu], Yang, J.[Jian],
Video Rescaling With Recurrent Diffusion,
CirSysVideo(34), No. 10, October 2024, pp. 9386-9399.
IEEE DOI Code:
WWW Link. 2411
Superresolution, Image restoration, Image reconstruction, Interpolation, Recurrent neural networks, recurrent neural networks (RNNs) BibRef


Liang, Y.[Yuanbang], Garg, B.[Bhavesh], Rosin, P.[Paul], Qin, Y.P.[Yi-Peng],
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment,
CVPR24(19363-19372)
IEEE DOI Code:
WWW Link. 2410
Manifolds, Degradation, Image coding, Superresolution, Rate-distortion, Stochastic processes, Distortion, Image Downscaling Assessment BibRef

Kim, J.[Jinseok], Kim, T.K.[Tae-Kyun],
Arbitrary-Scale Image Generation and Upsampling Using Latent Diffusion Model and Implicit Neural Decoder,
CVPR24(9202-9211)
IEEE DOI 2410
Image synthesis, Superresolution, Noise reduction, Pipelines, Noise, Diffusion processes BibRef

Ni, Z.K.[Zhang-Kai], Wu, J.C.[Jun-Cheng], Wang, Z.[Zian], Yang, W.H.[Wen-Han], Wang, H.[Hanli], Ma, L.[Lin],
Misalignment-Robust Frequency Distribution Loss for Image Transformation,
CVPR24(2910-2919)
IEEE DOI Code:
WWW Link. 2410
Training, Image transformation, Graphical models, Frequency-domain analysis, Superresolution, Transforms, Image Transformation BibRef

Xu, B.[Bingna], Guo, Y.[Yong], Jiang, L.Q.[Luo-Qian], Yu, M.J.[Mian-Jie], Chen, J.[Jian],
Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images,
ICCV23(12203-12213)
IEEE DOI Code:
WWW Link. 2401
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Tu, Z.Z.[Zheng-Zhong], Milanfar, P.[Peyman], Talebi, H.[Hossein],
MULLER: Multilayer Laplacian Resizer for Vision,
ICCV23(6854-6864)
IEEE DOI Code:
WWW Link. 2401
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Bernasconi, M.[Michael], Djelouah, A.[Abdelaziz], Salehi, F.[Farnood], Gross, M.[Markus], Schroers, C.[Christopher],
Kernel Aware Resampler,
CVPR23(22347-22355)
IEEE DOI 2309
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Guo, Y.C.[Yi-Chen], Xu, M.[Mai], Jiang, L.[Lai], Sigal, L.[Leonid], Chen, Y.J.[Yun-Jin],
DINN360: Deformable Invertible Neural Network for Latitude-aware 360° Image Rescaling,
CVPR23(21519-21528)
IEEE DOI 2309
BibRef

Li, J.C.[Jia-Cheng], Chen, C.[Chang], Huang, W.[Wei], Lang, Z.Q.[Zhi-Qiang], Song, F.L.[Feng-Long], Yan, Y.L.[You-Liang], Xiong, Z.W.[Zhi-Wei],
Learning Steerable Function for Efficient Image Resampling,
CVPR23(5866-5875)
IEEE DOI 2309
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Pan, Z.H.[Zhi-Hong], Li, B.[Baopu], He, D.L.[Dong-Liang], Wu, W.H.[Wen-Hao], Ding, E.[Errui],
Effective Invertible Arbitrary Image Rescaling,
WACV23(5405-5414)
IEEE DOI 2302
Deep learning, Training, Image coding, Superresolution, Neural networks, Network architecture, Complexity theory, image and video synthesis BibRef

Zhong, Z.X.[Zhi-Xuan], Chai, L.Y.[Liang-Yu], Zhou, Y.[Yang], Deng, B.[Bailin], Pan, J.[Jia], He, S.F.[Sheng-Feng],
Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations,
CVPR22(5698-5707)
IEEE DOI 2210
Codes, Semantics, Generative adversarial networks, Encoding, Image reconstruction, Low-level vision, Image and video synthesis and generation BibRef

Pan, Z.H.[Zhi-Hong], Li, B.[Baopu], He, D.L.[Dong-Liang], Yao, M.[Mingde], Wu, W.H.[Wen-Hao], Lin, T.W.[Tian-Wei], Li, X.[Xin], Ding, E.[Errui],
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence,
CVPR22(17368-17377)
IEEE DOI 2210
Degradation, Deep learning, Training, Photography, Superresolution, Robustness, Kernel, Low-level vision, Computational photography BibRef

Bruno, P.[Paolo], Amoroso, R.[Roberto], Cornia, M.[Marcella], Cascianelli, S.[Silvia], Baraldi, L.[Lorenzo], Cucchiara, R.[Rita],
Investigating Bidimensional Downsampling in Vision Transformer Models,
CIAP22(II:287-299).
Springer DOI 2205
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Tian, Y.[Yuan], Lu, G.[Guo], Min, X.K.[Xiong-Kuo], Che, Z.H.[Zhao-Hui], Zhai, G.T.[Guang-Tao], Guo, G.D.[Guo-Dong], Gao, Z.Y.[Zhi-Yong],
Self-Conditioned Probabilistic Learning of Video Rescaling,
ICCV21(4470-4479)
IEEE DOI 2203
Training, Codecs, Video compression, Probabilistic logic, Entropy, Computational efficiency, Low-level and physics-based vision, Vision applications and systems BibRef

Kim, J.[Jaehwan], Kang, S.M.[Soo Min], Choi, K.P.[Kwang Pyo], Park, Y.[Youngo], Lee, C.[Chaeeun], Lee, J.S.[Jong-Seok],
High-Frequency Preserving Image Downscaler,
ICIP21(1984-1988)
IEEE DOI 2201
Training, Visualization, Image resolution, Benchmark testing, Decoding, High frequency, image downscaling, arbitrary image scale, autoencoder BibRef

Arantes, R.B.[Renato B.], Vogiatzis, G.[George], Faria, D.R.[Diego R.],
RCGAN: Learning a Generative Model for Arbitrary Size Image Generation,
ISVC20(I:80-94).
Springer DOI 2103
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Chen, Y., Xiao, X., Dai, T., Xia, S.T.,
Hrnet: Hamiltonian Rescaling Network for Image Downscaling,
ICIP20(523-527)
IEEE DOI 2011
Mathematical model, Convolution, Image resolution, Image restoration, Visualization, Kernel, Numerical models, Super-resolution BibRef

Park, D.,
Edge-Guided Image Downscaling With Adaptive Filtering,
ICIP20(998-1002)
IEEE DOI 2011
Filtering, Image edge detection, Indexes, 5G mobile communication, Interpolation, Downscaling, image filtering, image derivatives BibRef

Liu, S.K.[Shi-Kun], Lin, Z.[Zhe], Wang, Y.L.[Yi-Lin], Zhang, J.M.[Jian-Ming], Perazzi, F.[Federico], Johns, E.[Edward],
Shape Adaptor: A Learnable Resizing Module,
ECCV20(XII: 661-677).
Springer DOI 2010
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Nezhadarya, E., Taghavi, E., Razani, R., Liu, B., Luo, J.,
Adaptive Hierarchical Down-Sampling for Point Cloud Classification,
CVPR20(12953-12961)
IEEE DOI 2008
Neural networks, Convolution, Machine learning, Task analysis, Indexes, Computational modeling BibRef

Lang, I.[Itai], Manor, A.[Asaf], Avidan, S.[Shai],
SampleNet: Differentiable Point Cloud Sampling,
CVPR20(7575-7585)
IEEE DOI 2008
Task analysis, Training, Neural networks, Sampling methods, Optimization, Machine learning BibRef

Baluja, S., Marwood, D., Johnston, N., Covell, M.,
Learning to Render Better Image Previews,
ICIP19(1700-1704)
IEEE DOI 1910
Compression, Semantic Quality Measurement, Image Triangulation, Deep Neural Networks BibRef

Li, Z.P.[Zhuo-Peng], Zhang, X.Y.[Xiao-Yan],
Deep Reinforcement Learning for Automatic Thumbnail Generation,
MMMod19(II:41-53).
Springer DOI 1901
BibRef

Kim, H.[Heewon], Choi, M.[Myungsub], Lim, B.[Bee], Lee, K.M.[Kyoung Mu],
Task-Aware Image Downscaling,
ECCV18(II: 419-434).
Springer DOI 1810
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Shimizu, Y., Ono, S., Tanaka, Y.,
Design of Sampling Matrices in Graph Frequency Domain for Graph Signal Processing,
ICIP18(1078-1082)
IEEE DOI 1809
Frequency-domain analysis, Signal processing, Laplace equations, Sampling methods, Noise reduction, Optimization, multiresolution BibRef

De, A., Seelamantula, C.S.,
Design of Sampling Kernels and Sampling Rates for Two-Dimensional Finite Rate of Innovation Signals,
ICIP18(1443-1447)
IEEE DOI 1809
Kernel, Signal to noise ratio, Splines (mathematics), Image reconstruction, high-resolution spectral estimation BibRef

Qin, Z., Zhang, Z., Chen, X., Wang, C., Peng, Y.,
FD-Mobilenet: Improved Mobilenet with a Fast Downsampling Strategy,
ICIP18(1363-1367)
IEEE DOI 1809
Computer architecture, Complexity theory, Neural networks, Training, Hardware, Computational modeling, Standards, deep learning BibRef

Marwood, D., Massimino, P., Covell, M., Baluja, S.,
Representing Images in 200 Bytes: Compression via Triangulation,
ICIP18(405-409)
IEEE DOI 1809
Image color analysis, Image coding, Encoding, Transform coding, Indexes, Adaptation models, Standards, Compression, Triangulation, Thumbnails BibRef

Patankar, A.A., Bose, J.,
A method for resizing images by content perception,
ICIP17(3725-3729)
IEEE DOI 1803
Browsers, Face detection, Layout, Metadata, Mobile handsets, Object detection, Web pages, image arrangement, image layout, objectness criterion BibRef

Esmaeili, S.A., Singh, B., Davis, L.S.,
Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks,
CVPR17(4178-4186)
IEEE DOI 1711
Agriculture, Machine learning, Nails, Neural networks, Object detection, Proposals, Training BibRef

Huang, J., Chen, H., Wang, B., Lin, S.,
Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability,
ICCV15(253-261)
IEEE DOI 1602
Agriculture BibRef

Liu, W.[Wu], Mei, T.[Tao], Zhang, Y.D.[Yong-Dong], Che, C.[Cherry], Luo, J.B.[Jie-Bo],
Multi-task deep visual-semantic embedding for video thumbnail selection,
CVPR15(3707-3715)
IEEE DOI 1510
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Zhai, Y.[Yao], Wang, Q.F.[Qi-Fei], Lu, Y.[Yan], Li, S.P.[Shi-Peng],
Content adaptive screen image scaling,
ICIP14(3901-3905)
IEEE DOI 1502
Algorithm design and analysis BibRef

Kansal, K.[Kshitij], Mohanty, M.[Manoranjan], Atrey, P.K.[Pradeep K.],
Scaling and Cropping of Wavelet-Based Compressed Images in Hidden Domain,
MMMod15(I: 430-441).
Springer DOI 1501
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Lindblad, J.[Joakim], Sladoje, N.[Nataa], Malm, P.[Patrik], Bengtsson, E.[Ewert], Moshavegh, R.[Ramin], Mehnert, A.[Andrew],
Optimizing Optics and Imaging for Pattern Recognition Based Screening Tasks,
ICPR14(3333-3338)
IEEE DOI 1412
Simulating lower quality images starting from higher quality ones. BibRef

Marteau, P.F.[Pierre-Francois], Gibet, S.[Sylvie], Reverdy, C.[Clement],
Down-sampling Coupled to Elastic Kernel Machines for Efficient Recognition of Isolated Gestures,
ICPR14(363-368)
IEEE DOI 1412
Accuracy BibRef

Qu, Z.[Zhan], Wang, J.Q.[Jin-Qiao], Xu, M.[Min], Lu, H.Q.[Han-Qing],
Fusing Warping, Cropping, and Scaling for Optimal Image Thumbnail Generation,
ACCV12(IV:445-456).
Springer DOI 1304
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Gibson, D.P.[David P.], Muller, H.[Henk], Campbell, N.W.[Neill W.], Bull, D.[David],
Adaptive Sampling for Low Latency Vision Processing,
CompPhot12(I:194-205).
Springer DOI 1304
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Sermwuthisarn, P.[Parichat], Gansawaf, D.[Duangrat], Patanaviji, V.[Vorapoj], Auethavekiat, S.[Supatana],
Robust compressed sensing in Gaussian noise environment by resampling with replacement,
ICIP12(905-908).
IEEE DOI 1302
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Lam, D.[Dao], Wunsch, D.[Donald],
Video compressive sensing with 3-D Wavelet and 3-D Noiselet,
ICIP12(893-896).
IEEE DOI 1302
Sampling over multiple frames BibRef

Fang, L.[Lu], Au, O.C.[Oscar C.], Dai, J.J.[Jing-Jing], Wang, H.[Hanli], Cheung, N.M.[Ngai-Man],
Analytical study of RGB vertical stripe and RGBX square-shaped subpixel arrangements,
ICIP12(333-336).
IEEE DOI 1302
achieve higher apparent resolution than pixel-based decimation BibRef

Mishiba, K.[Kazu], Ikehara, M.[Masaaki], Yoshitome, T.[Takeshi],
Content aspect ratio preserving mesh-based image resizing,
ICIP12(865-868).
IEEE DOI 1302
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Tecuanhuehue-Vera, P., Carrasco-Ochoa, J.A.[Jesús Ariel], Martínez-Trinidad, J.F.[José Fco.],
Genetic Algorithm for Multidimensional Scaling over Mixed and Incomplete Data,
MCPR12(226-235).
Springer DOI 1208
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Lee, K.Y.[Ken-Yi], Chung, C.D.[Cheng-Da], Chuang, Y.Y.[Yung-Yu],
Scene warping: Layer-based stereoscopic image resizing,
CVPR12(49-56).
IEEE DOI 1208
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Chang, C.H.[Che-Han], Chuang, Y.Y.[Yung-Yu],
A line-structure-preserving approach to image resizing,
CVPR12(1075-1082).
IEEE DOI 1208
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Sun, J.[Jin], Ling, H.B.[Hai-Bin],
Scale and Object Aware Image Thumbnailing,
IJCV(104), No. 2, September 2013, pp. 135-153.
WWW Link. 1308
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Scale and object aware image retargeting for thumbnail browsing,
ICCV11(1511-1518).
IEEE DOI 1201
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Kim, W.J.[Won-Jun], Kim, C.[Changick],
A novel image importance model for content-aware image resizing,
ICIP11(2469-2472).
IEEE DOI 1201
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Jeong, S.G.[Seong-Gyun], Kim, C.S.[Chang-Su],
Feature-preserving thumbnail generation based on graph cuts,
ICIP11(1081-1084).
IEEE DOI 1201
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Liu, C.X.[Chun-Xi], Huang, Q.M.[Qing-Ming], Jiang, S.Q.[Shu-Qiang],
Query sensitive dynamic web video thumbnail generation,
ICIP11(2449-2452).
IEEE DOI 1201
BibRef

Roberto, G.[Gallea], Ardizzone, E.[Edoardo], Pirrone, R.[Roberto],
Real-time content-aware image resizing using reduced linear model,
ICIP10(2813-2816).
IEEE DOI 1009
BibRef

Trussell, H.J., Nanjappan, J.,
Adaptive sampling for output device characterization,
ICIP10(537-540).
IEEE DOI 1009
BibRef

Dalgaard, N.[Nahuel], Mosquera, C.[Carlos], Perez-Gonzalez, F.[Fernando],
On the role of differentiation for resampling detection,
ICIP10(1753-1756).
IEEE DOI 1009
BibRef

Chen, R.J.[Ren-Jie], Freedman, D.[Daniel], Karni, Z.[Zachi], Gotsman, C.[Craig], Liu, L.G.[Li-Gang],
Content-aware image resizing by quadratic programming,
NORDIA10(1-8).
IEEE DOI 1006
BibRef

Niu, Y.Z.[Yu-Zhen], Liu, F.[Feng], Li, X.Q.[Xue-Qing], Gleicher, M.[Michael],
Warp propagation for video resizing,
CVPR10(537-544).
IEEE DOI 1006
BibRef

Utsugi, K.[Kei], Shibahara, T.[Takuma], Koike, T.[Takafumi], Takahashi, K.[Keita], Naemura, T.[Takeshi],
Seam carving for stereo images,
3DTV10(1-4).
IEEE DOI 1006
Stereo image editing. Delete seams of less important pixels for resizing. BibRef

Marchesotti, L.[Luca], Cifarelli, C.[Claudio], Csurka, G.[Gabriela],
A framework for visual saliency detection with applications to image thumbnailing,
ICCV09(2232-2239).
IEEE DOI 0909
BibRef

Cho, S.H.[Sung-Hyun], Choi, H.[Hanul], Matsushita, Y.[Yasuyuki], Lee, S.Y.[Seung-Yong],
Image retargeting using importance diffusion,
ICIP09(977-980).
IEEE DOI 0911
BibRef

Bandoh, Y.[Yukihiro], Takamura, S.[Seishi], Kamikura, K.[Kazuto], Yashima, Y.[Yoshiyuki],
Temporal down-sampling algorithm of high frame-rate video for reducing inter-frame prediction error,
ICIP09(1017-1020).
IEEE DOI 0911
BibRef

Stankovic, V.[Vladimir], Stankovic, L.[Lina], Cheng, S.[Samuel],
Compressive image sampling with side information,
ICIP09(3037-3040).
IEEE DOI 0911
BibRef

Chateau, T.[Thierry], Goyat, Y.[Yann], Trassoudaine, L.[Laurent],
M2SIR: A multi modal sequential importance resampling algorithm for particle filters,
ICIP09(4073-4076).
IEEE DOI 0911
BibRef

Wu, J.J.[Jia-Ji], Xing, Y.[Yan], Shi, G.M.[Guang-Ming], Jiao, L.C.[Li-Cheng],
Image compression with downsampling and overlapped transform at low bit rates,
ICIP09(29-32).
IEEE DOI 0911
BibRef

Krylov, A.S.[Andrey S.], Lukin, A.S.[Alexey S.], Nasonov, A.V.[Andrey V.],
Edge-preserving nonlinear iterative image resampling method,
ICIP09(385-388).
IEEE DOI 0911
BibRef

Han, J.W.[Jong-Woo], Choi, K.S.[Kang-Sun], Wang, T.S.[Tae-Shick], Cheon, S.H.[Sung-Hyun], Ko, S.J.[Sung-Jea],
Wavelet based seam carving for content-aware image resizing,
ICIP09(345-348).
IEEE DOI 0911
BibRef

Collins, E.[Edo], Achanta, R.[Radhakrishna], Süsstrunk, S.[Sabine],
Deep Feature Factorization for Concept Discovery,
ECCV18(XIV: 352-368).
Springer DOI 1810
BibRef

Achanta, R.[Radhakrishna], Susstrunk, S.[Sabine],
Saliency detection using maximum symmetric surround,
ICIP10(2653-2656).
IEEE DOI 1009
BibRef
Earlier:
Saliency detection for content-aware image resizing,
ICIP09(1005-1008).
IEEE DOI 0911

See also Frequency-tuned salient region detection. BibRef

Nataraj, L., Sarkar, A., Manjunath, B.S.,
Adding Gaussian noise to 'denoise' JPEG for detecting image resizing,
ICIP09(1493-1496).
IEEE DOI 0911
BibRef

Mai, Z.H.[Zhen-Hua], Verhoye, M., Linden, A., Sijbers, J.,
Diffusion Tensor Images Upsampling: A Registration-Based Approach,
IMVIP09(36-40).
IEEE DOI 0909
BibRef

Rodríguez, M.[Marc], Largeteau-Skapin, G.[Gaëlle], Andres, E.[Eric],
Adaptive Pixel Resizing for Multiscale Recognition and Reconstruction,
IWCIA09(252-265).
Springer DOI 0911
BibRef

Scott, J., Tutwiler, R., Pusateri, M.A.,
Hyper-spectral content aware resizing,
AIPR08(1-7).
IEEE DOI 0810
BibRef

Srivastava, A.[Awadhesh], Biswas, K.K.[Kanad Kishore],
Fast Content Aware Image Retargeting,
ICCVGIP08(505-511).
IEEE DOI 0812
Small views. BibRef

Samadani, R.[Ramin],
A fast algorithm for preserving noise while reducing image size,
ICIP08(2824-2827).
IEEE DOI 0810
BibRef

Robidoux, N.[Nicolas], Turcotte, A.[Adam], Gong, M.L.[Ming-Lun], Tousignant, A.[Annie],
Fast Exact Area Image Upsampling with Natural Biquadratic Histosplines,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Medjeldi, T.[Tayeb], Horé, A.[Alain], Ziou, D.[Djemel],
Enhancement of the Quality of Images through Complex Mosaic Configurations,
ICIAR09(43-53).
Springer DOI 0907
BibRef

Horé, A.[Alain], Deschênes, F.[François], Ziou, D.[Djemel],
A New Super-Resolution Algorithm Based on Areas Pixels and the Sampling Theorem of Papoulis,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef
Earlier: A1, A3, A2:
A New Image Scaling Algorithm Based on the Sampling Theorem of Papoulis,
ICIAR07(1-11).
Springer DOI 0708
BibRef

Horé, A.[Alain], Deschênes, F.[François], Ziou, D.[Djemel],
A Simple Scaling Algorithm Based on Areas Pixels,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Figueras i Ventura, R.M.[Rosa M.], Simoncelli, E.P.[Eero P.],
Statistically Driven Sparse Image Approximation,
ICIP07(I: 461-464).
IEEE DOI 0709
BibRef

Lu, Y.M.[Yue M.], Do, M.N.[Minh N.],
Finding Optimal Integral Sampling Lattices for a given Frequency Support in Multidimensions,
ICIP07(II: 165-168).
IEEE DOI 0709
BibRef

Alzoubi, H., Pan, W.D.,
Efficient Global Motion Estimation using Fixed and Random Subsampling Patterns,
ICIP07(I: 477-480).
IEEE DOI 0709
BibRef

Jeon, G.G.[Gwang-Gil], Lee, J.H.[Joo-Hyun], Kim, W.K.[Won-Kyun], Jeong, J.C.[Je-Chang],
Edge Direction-Based Simple Resampling Algorithm,
ICIP07(V: 397-400).
IEEE DOI 0709
BibRef

Satzoda, R.K., Sathyanarayana, S., Srikanthan, T.,
Low Area-time Complexity Averaging Scheme for Thumbnail Generation,
ICARCV06(1-4).
IEEE DOI 0612
BibRef

Porwal, S.[Sudhir], Mukherjee, J.[Jayanta],
An Integrated Approach for Downscaling MPEG Video,
ICCVGIP06(686-695).
Springer DOI 0612
BibRef

Segall, C.A., Katsaggelos, A.,
Resampling for Spatial Scalability,
ICIP06(181-184).
IEEE DOI 0610
BibRef

Haupt, J., Nowak, R.,
Compressive Sampling Vs. Conventional Imaging,
ICIP06(1269-1272).
IEEE DOI 0610
BibRef

Kusuma, J., Goyal, V.K.,
Multichannel Sampling of Parametric Signals with a Successive Approximation Property,
ICIP06(1265-1268).
IEEE DOI 0610
BibRef

Hiki, M., Ishida, T., Muramatsu, S., Kikuchi, H.,
Suppression of PSNR Fluctuation in Motion-Compensated Temporal 1/3-Transform Through Non-Separable Sub-Sampling,
ICIP06(2153-2156).
IEEE DOI 0610
BibRef

Shukla, P., Dragotti, P.L.,
Tomographic Approach for Sampling Multidimensional Signals with Finite Rate of Innovation,
ICIP06(2685-2688).
IEEE DOI 0610
BibRef

Lippens, S., Philips, W.,
Size Reduction of Look-Up Table Based Print Models,
ICIP06(1525-1528).
IEEE DOI 0610
BibRef

Koshimizu, H.[Hiroyasu], Tanaka, Y.J.[Yu-Ji], Fujiwara, T.[Takayuki],
OK-Quantization Theory: A Mathematical Theory of Quantization,
ICPR06(III: 865-868).
IEEE DOI 0609
BibRef

Tanaka, Y.J.[Yu-Ji], Fujiwara, T.[Takayuki], Koshimizu, H.[Hiroyasu], Iijima, T.[Taizo],
A Theoretical and Experimental Consideration on Interference in Resolutions between Sampling Theorem and OK-Quantization Theory,
ICPR06(III: 869-872).
IEEE DOI 0609
BibRef
Earlier:
OK-Quantization Theory and Its Relationship to Sampling Theorem,
ACCV06(II:479-488).
Springer DOI 0601
BibRef

Itani, A.[Abdul], Das, M.[Manohar],
Self-Describing Context-Based Pixel Ordering,
ISVC05(413-419).
Springer DOI 0512
Different scan order for compression. BibRef

Andreopoulos, A.[Alexander], Tsotsos, J.K.[John K.],
Resampling 4-D Images Using Adaptive Filtering,
CRV05(18-26).
IEEE DOI 0505
BibRef

Shin, I.H.[Il-Hong], Park, H.W.[Hyun-Wook],
Efficient down-up sampling using DCT kernel for MPEG-21 SVC,
ICIP05(III: 640-643).
IEEE DOI 0512
BibRef

Blanchet, G., Moisan, L., Rouge, B.,
A Linear Prefilter for Image Sampling with Ringing Artifact Control,
ICIP05(III: 577-580).
IEEE DOI 0512
BibRef

Sheffer, A., Kraevoy, V.,
Pyramid coordinates for morphing and deformation,
3DPVT04(68-75).
IEEE DOI 0412
BibRef

Ma, R.H.[Rui-Hua], Singh, G.,
Large-scale infographic image downsizing,
ICIP04(III: 1661-1664).
IEEE DOI 0505
BibRef

Asahi, T., Lopez, A., Chassat, F.,
Continuous model of irregular sampled data using multilevel B-splines,
ICIP03(II: 921-924).
IEEE DOI 0312
BibRef

Gotchev, A., Egiazarian, K.O., Marchokov, G., Saramaki, T.,
A near least squares method for image decimation,
ICIP03(II: 929-932).
IEEE DOI 0312
BibRef

Torii, A., Wakazono, Y., Murakami, H., Imiya, A.,
Resolution conversion of gray-level images by discrete geometry,
CIAP03(542-547).
IEEE DOI 0310
BibRef

Torii, A., Ichinose, T., Wakazono, Y., Imiya, A.,
Inverse Quantization for Resolution Conversion,
WTRCV02(107-126). 0204
BibRef

Song, M.Z.[Ming-Zhou], Haralick, R.M.,
Optimal grid quantization,
ICPR02(III: 444-447).
IEEE DOI 0211
BibRef

Sun, X.Y.[Xiao-Yong], Dubois, E.,
Scene sampling for the concentric mosaics technique,
ICIP02(I: 465-468).
IEEE DOI 0210
BibRef

Yang, S., Nguyen, T.,
Interpolated Mth Band Filters for Image Size Conversion,
ICIP01(III: 891-894).
IEEE DOI 0108
BibRef

de Oliveira, Jr., J.J.[Jose Josemar], Veloso, L.R.[Luciana Ribeiro], Marques de Carvalho, J.[Joao],
Interpolation/decimation Scheme Applied to Size Normalization of Characters Images,
ICPR00(Vol II: 577-580).
IEEE DOI 0009
BibRef

Bopardikar, A.S.[Ajit S.], Rao, R.M.[Raghuveer M.],
Sampling Systems matched to the input image class,
ICIP99(II:919-923).
IEEE DOI BibRef 9900

Chang, H.[Hsuan],
Hierarchical Fixed-Point Searching Method for Resizing Binary Fractal Image With IFS Code Modification,
ICIP99(I:491-495).
IEEE DOI BibRef 9900

Chernov, V.M.[Vladimir M.], Pershina, M.V.[Maria V.],
'Error-free' calculation of the convolution using generalized Mersenne and Fermat transforms over algebraic fields,
CAIP97(621-628).
Springer DOI 9709
BibRef

Gilmont, T., Verians, X., Legat, J.D., Veraart, C.,
Resolution reduction by growth of zones for visual prosthesis,
ICIP96(I: 299-302).
IEEE DOI 9610
BibRef

Venkataramani, R., Bresler, Y.,
Further results on spectrum blind sampling of 2D signals,
ICIP98(II: 752-756).
IEEE DOI 9810
BibRef

Bresler, Y.[Yoram], Feng, P.[Ping],
Spectrum-Blind Minimum-Rate Sampling and Reconstruction of 2-D Multiband Signals,
ICIP96(I: 701-704).
IEEE DOI BibRef 9600

Young, I.,
Sampling Density for Image Analysis,
ICPR96(II: 840-843).
IEEE DOI 9608
(Delft Univ. of Technology, NL) BibRef

Kil, D.H., Shin, F.B.,
Reduced dimension image compression and its applications,
ICIP95(III: 500-503).
IEEE DOI 9510
BibRef

Natarajan, B.K., Vasudev, B.,
A fast approximate algorithm for scaling down digital images in the DCT domain,
ICIP95(II: 241-243).
IEEE DOI 9510
BibRef

Kropatsch, W.G.[Walter G.],
Towards higher decimation ratios,
CAIP95(747-752).
Springer DOI 9509
BibRef

Shevlin, F.,
Resampling of scanned imagery for rectification and registration,
ICIP94(II: 1007-1011).
IEEE DOI 9411
BibRef

Csillaghy, A.,
Building image icons for fast browsing and classification of solar radio spectrograms,
ICIP94(II: 71-75).
IEEE DOI 9411
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
HDR, High Dynamic Range, Enhanced Dynamic Range from Multiple Images .


Last update:Nov 26, 2024 at 16:40:19