19.4.3.16 Super Resolution using Wavelets

Chapter Contents (Back)
Super Resolution. Wavelets.

Nguyen, N.[Nhat], Milanfar, P., Golub, G.H.,
A computationally efficient superresolution image reconstruction algorithm,
IP(10), No. 4, April 2001, pp. 573-583.
IEEE DOI 0104
BibRef

Nguyen, N.,
An Efficient Wavelet-based Algorithm for Image Superresolution,
ICIP00(Vol II: 351-354).
IEEE DOI 0008
BibRef

Nguyen, N., Milanfar, P., Golub, G.H.,
Efficient generalized cross-validation with applications to parametric image restoration and resolution enhancement,
IP(10), No. 9, September 2001, pp. 1299-1308.
IEEE DOI 0108
BibRef

Jiji, C.V., Joshi, M.V., Chaudhuri, S.[Subhasis],
Single-frame image super-resolution using learned wavelet coefficients,
IJIST(14), No. 3, 2004, pp. 105-112.
DOI Link 0408
BibRef

Mallat, S.[Stephane], Yu, G.S.[Guo-Shen],
Super-Resolution With Sparse Mixing Estimators,
IP(19), No. 11, November 2010, pp. 2889-2900.
IEEE DOI 1011
BibRef
Earlier:
Structured pursuits for geometric super-resolution,
ICIP09(1477-1480).
IEEE DOI 0911
BibRef

Gajjar, P.P.[Prakash P.], Joshi, M.V.[Manjunath V.],
New Learning Based Super-Resolution: Use of DWT and IGMRF Prior,
IP(19), No. 5, May 2010, pp. 1201-1213.
IEEE DOI 1004
BibRef
Earlier:
Single Frame Super-Resolution: A New Learning Based Approach and Use of IGMRF Prior,
ICCVGIP08(636-643).
IEEE DOI 0812
BibRef

Upla, K.P., Joshi, M.V., Gajjar, P.P.,
An Edge Preserving Multiresolution Fusion: Use of Contourlet Transform and MRF Prior,
GeoRS(53), No. 6, June 2015, pp. 3210-3220.
IEEE DOI 1503
feature extraction BibRef

Gajjar, P.P.[Prakash P.], Joshi, M.V.[Manjunath V.],
Zoom Based Super-Resolution: A Fast Approach Using Particle Swarm Optimization,
ICISP10(63-70).
Springer DOI 1006
BibRef

Khatri, N.[Nilay], Joshi, M.V.[Manjunath V.],
Image Super-Resolution: Use of Self-learning and Gabor Prior,
ACCV12(III:413-424).
Springer DOI 1304
BibRef

Jiji, C.V., Chaudhuri, S.[Subhasis],
Single-Frame Image Super-resolution through Contourlet Learning,
JASP(2006), 2006, pp. 1-11.
WWW Link. 0603
BibRef

Bose, N.K., Lertrattanapanich, S., Chappalli, M.B.,
Superresolution with second generation wavelets,
SP:IC(19), No. 5, May 2004, pp. 387-391.
Elsevier DOI 0405

See also High resolution image formation from low resolution frames using Delaunay triangulation. BibRef

Bose, N.K., Chappalli, M.B.[Mahesh B.],
A second-generation wavelet framework for super-resolution with noise filtering,
IJIST(14), No. 2, 2004, pp. 84-89.
DOI Link 0408
BibRef

Chappalli, M.B., Bose, N.K.,
Simultaneous Noise Filtering and Super-Resolution With Second-Generation Wavelets,
SPLetters(12), No. 11, November 2005, pp. 772-775.
IEEE DOI 0510
BibRef

Bose, N.K.[Nirmal K.], Ahuja, N.A.,
Superresolution and Noise Filtering Using Moving Least Squares,
IP(15), No. 8, August 2006, pp. 2239-2248.
IEEE DOI 0606
BibRef
Earlier: A2, A1:
Multidimensional Generalized Sampling Theorem for wavelet Based Image Superresolution,
ICIP06(1589-1592).
IEEE DOI 0610
BibRef

Temizel, A.[Alptekin], Vlachos, T.,
Wavelet domain image resolution enhancement,
VISP(153), No. 1, February 2006, pp. 25-30.
DOI Link 0602
BibRef

Temizel, A.[Alptekin],
Image Resolution Enhancement using Wavelet Domain Hidden Markov Tree and Coefficient Sign Estimation,
ICIP07(V: 381-384).
IEEE DOI 0709
BibRef

Ji, H.[Hui], Fermüller, C.[Cornelia],
Robust Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm,
PAMI(31), No. 4, April 2009, pp. 649-660.
IEEE DOI 0903
BibRef
Earlier:
Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm,
ECCV06(IV: 295-307).
Springer DOI 0608
BibRef

Robinson, M.D.[M. Dirk], Toth, C.A.[Cynthia A.], Lo, J.Y.[Joseph Y.], Farsiu, S.[Sina],
Efficient Fourier-Wavelet Super-Resolution,
IP(19), No. 10, October 2010, pp. 2669-2681.
IEEE DOI 1003
BibRef
Earlier: A1, A4, A3, A2:
Efficient restoration and enhancement of super-resolved X-ray images,
ICIP08(629-632).
IEEE DOI 0810
BibRef

Demirel, H., Anbarjafari, G.,
Image Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition,
IP(20), No. 5, May 2011, pp. 1458-1460.
IEEE DOI 1104
BibRef

Demirel, H., Anbarjafari, G.,
Discrete Wavelet Transform-Based Satellite Image Resolution Enhancement,
GeoRS(49), No. 6, June 2011, pp. 1997-2004.
IEEE DOI 1106
BibRef

Karam, L.J.[Lina J.], Sadaka, N.G.[Nabil G.], Ferzli, R.[Rony], Ivanovski, Z.A.[Zoran A.],
An Efficient Selective Perceptual-Based Super-Resolution Estimator,
IP(20), No. 12, December 2011, pp. 3470-3482.
IEEE DOI 1112
BibRef
Earlier: A3, A4, A1, Only: ICIP08(1260-1263).
IEEE DOI 0810
BibRef

Sadaka, N.G.[Nabil G.], Karam, L.J.[Lina J.],
Efficient Super-Resolution driven by saliency selectivity,
ICIP11(1197-1200).
IEEE DOI 1201
BibRef
Earlier:
Super-resolution using a Wavelet-based Adaptive Wiener Filter,
ICIP10(3309-3312).
IEEE DOI 1009
BibRef
Earlier:
Efficient perceptual attentive super-resolution,
ICIP09(3113-3116).
IEEE DOI 0911
BibRef

Zhang, J.[Jing], Cao, Y.[Yang], Zheng, Z.G.[Zhi-Gang], Chen, C.W.[Chang-Wen], Wang, Z.F.[Zeng-Fu],
A new closed loop method of super-resolution for multi-view images,
MVA(25), No. 7, October 2014, pp. 1685-1695.
Springer DOI 1410
BibRef

Zhang, J.[Jing], Cao, Y.[Yang], Wang, Z.F.[Zeng-Fu],
A simultaneous method for 3D video super-resolution and high-quality depth estimation,
ICIP13(1346-1350)
IEEE DOI 1402
depth estimation;mixed-resolution 3D video;super-resolution BibRef

Yang, Y.X.[Yu-Xiang], Wang, Z.F.[Zeng-Fu],
A New Image Super-Resolution Method in the Wavelet Domain,
ICIG11(163-167).
IEEE DOI 1109
BibRef

Nazzal, M., Ozkaramanli, H.,
Wavelet domain dictionary learning-based single image superresolution,
SIViP(9), No. 7, October 2015, pp. 1491-1501.
WWW Link. 1509
BibRef

Fannjiang, A.C.[Albert C.],
Compressive Imaging Of Subwavelength Structures,
SIIMS(2), No. 4, 2009, pp. 1277-1291.
DOI Link 1002
compressed sensing, superresolution, stability, Littlewood-Paley wavelet, near field BibRef

Deeba, F.[Farah], Zhou, Y.C.[Yuan-Chun], Dharejo, F.A.[Fayaz Ali], Khan, M.A.[Muhammad Ashfaq], Das, B.[Bhagwan], Wang, X.Z.[Xue-Zhi], Du, Y.[Yi],
A plexus-convolutional neural network framework for fast remote sensing image super-resolution in wavelet domain,
IET-IPR(15), No. 8, 2021, pp. 1679-1687.
DOI Link 2106
BibRef

Wang, Q.S.[Qiao-Su], Ma, Q.M.[Qiao-Mei],
Super-resolution reconstruction algorithm for medical images by fusion of wavelet transform and multi-scale adaptive feature selection,
IET-IPR(18), No. 13, 2024, pp. 4297-4309.
DOI Link 2411
convolutional neural nets, discrete wavelet transforms, image resolution, medical image processing, neural nets BibRef


Ai, Y.[Yuang], Zhou, X.Q.[Xiao-Qiang], Huang, H.B.[Huai-Bo], Zhang, L.[Lei], He, R.[Ran],
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer,
CVPR24(8142-8152)
IEEE DOI 2410
Wavelet transforms, Adaptation models, Wavelet domain, Uncertainty, Superresolution, Network architecture, Transformers BibRef

Zou, W.B.[Wen-Bin], Jiang, M.C.[Ming-Chao], Zhang, Y.[Yunchen], Chen, L.[Liang], Lu, Z.Y.[Zhi-Yong], Wu, Y.[Yi],
SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring,
AIM21(1895-1904)
IEEE DOI 2112
Wavelet transforms, Training, Wavelet domain, Convolution, Superresolution, Image restoration BibRef

Wang, X.T.[Xin-Tao], Xie, L.B.[Liang-Bin], Dong, C.[Chao], Shan, Y.[Ying],
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data,
AIM21(1905-1914)
IEEE DOI 2112
Training, Degradation, Visualization, Computational modeling, Superresolution BibRef

Choi, Y.J.[Young-Ju], Lee, Y.W.[Young-Woon], Kim, B.G.[Byung-Gyu],
Wavelet Attention Embedding Networks for Video Super-Resolution,
ICPR21(7314-7320)
IEEE DOI 2105
Superresolution, Feature extraction, Motion compensation, Discrete wavelet transforms, Data mining, Spatial resolution BibRef

Guo, T.T.[Tian-Tong], Mousavi, H.S.[Hojjat Seyed], Vu, T.H.[Tiep Huu], Monga, V.[Vishal],
Deep Wavelet Prediction for Image Super-Resolution,
NTIRE17(1100-1109)
IEEE DOI 1709
Image reconstruction, Machine learning, Spatial resolution, Training, Wavelet domain, Wavelet, transforms BibRef

Bae, W.[Woong], Yoo, J.[Jae_Jun], Ye, J.C.[Jong Chul],
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification,
NTIRE17(1141-1149)
IEEE DOI 1709
Complexity theory, Convolution, Image resolution, Manifolds, Noise reduction, Wavelet, transforms BibRef

Ayas, S.[Selen], Ekinci, M.[Murat],
Learning Based Single Image Super Resolution Using Discrete Wavelet Transform,
CAIP17(II: 462-472).
Springer DOI 1708
BibRef

Gao, X.[Xing], Xiong, H.K.[Hong-Kai],
A Hybrid Wavelet Convolution Network with Sparse-Coding for Image Super-Resolution,
ICIP16(1439-1443)
IEEE DOI 1610
Convolution BibRef

Chavez, H., Gonzalez, V., Hernandez, A., Ponomaryov, V.,
Super Resolution Imaging via Sparse Interpolation in Wavelet Domain with Implementation in DSP and GPU,
CASI14(973-981).
Springer DOI 1411
BibRef

Devi, S.A.[S. Ashwini], Vasuki, A.,
Image Super Resolution using Fourier-Wavelet transform,
IMVIP12(109-112).
IEEE DOI 1302
BibRef

Matsuo, Y.[Yasutaka], Misu, T.[Toshie], Iwamura, S., Sakaida, S.,
Ultra high-definition video coding using bit-depth reduction with image noise reduction and pseudo-contour prevention,
VCIP13(1-6)
IEEE DOI 1402
decoding BibRef

Matsuo, Y.[Yasutaka], Misu, T.[Toshie], Sakaida, S.[Shinichi], Shishikui, Y.[Yoshiaki],
Video coding with wavelet image size reduction and wavelet super resolution reconstruction,
ICIP11(1157-1160).
IEEE DOI 1201
BibRef

Xu, Y.[Yan], Li, X.M.M.[Xue-Ming M.], Suen, C.Y.Y.[Ching-Yi Y.],
Image Super-Resolution Based Wavelet Framework with Gradient Prior,
CAIP11(II: 421-428).
Springer DOI 1109
BibRef

Zheng, H., Bouzerdoum, A.[Abdesselam], Phung, S.L.[Son Lam],
Wavelet based nonlocal-means super-resolution for video sequences,
ICIP10(2817-2820).
IEEE DOI 1009
BibRef

Fan, N.[Na],
Wavelet-based compressive Super-Resolution,
WACV09(1-6).
IEEE DOI 0912
BibRef

Velisavljevic, V.[Vladan],
Edge-preservation resolution enhancement with oriented wavelets,
ICIP08(1252-1255).
IEEE DOI 0810
BibRef

Lui, S.F.[Shu-Fan], Wu, J.Y.[Jin-Yi], Mao, H.S.[Hsi-Shu], Lien, J.J.J.[Jenn-Jier James],
Learning-Based Super-Resolution System Using Single Facial Image and Multi-resolution Wavelet Synthesis,
ACCV07(II: 96-105).
Springer DOI 0711
BibRef

Zhao, S.B.[Shu-Bin], Han, H.[Hua], Peng, S.L.[Si-Long],
Wavelet-domain HMT-based image superresolution,
ICIP03(II: 953-956).
IEEE DOI 0312
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Super Resolution, Survey, Evaluation, Overviews .


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