5.3.10.10 Compressed Image Quality Evaluation, JPEG Quality Evaluation

Chapter Contents (Back)
Quality Assessment. Image Quality.
See also Image Quality Evaluation, Visual Quality, Quality Assessment, and Imaging Models.

Nilsson, F.[Fredrik],
Objective quality measures for halftoned images,
JOSA-A(16), No. 9, September 1999, pp. 2151-2162.
DOI Link BibRef 9909

Turaga, D.S.[Deepak S.], Chen, Y.W.[Ying-Wei], Caviedes, J.[Jorge],
No reference PSNR estimation for compressed pictures,
SP:IC(19), No. 2, February 2004, pp. 173-184.
Elsevier DOI 0401
BibRef
Earlier: ICIP02(III: 61-64).
IEEE DOI 0210
BibRef

Caviedes, J.[Jorge], Oberti, F.[Franco],
A new sharpness metric based on local kurtosis, edge and energy information,
SP:IC(19), No. 2, February 2004, pp. 147-161.
Elsevier DOI 0401
BibRef

Caviedes, J., Gurbuz, S.,
No-reference sharpness metric based on local edge kurtosis,
ICIP02(III: 53-56).
IEEE DOI 0210
BibRef

Sabir, M.F., Sheikh, H.R., Heath, R.W., Bovik, A.C.,
A Joint Source-Channel Distortion Model for JPEG Compressed Images,
IP(15), No. 6, June 2006, pp. 1349-1364.
IEEE DOI 0606
BibRef
Earlier: ICIP04(V: 3249-3252).
IEEE DOI 0505
BibRef

Wang, Z.[Zhou], Sheikh, H.R., Bovik, A.C.,
No-reference perceptual quality assessment of JPEG compressed images,
ICIP02(I: 477-480).
IEEE DOI 0210
BibRef

Sabir, M.F., Heath, R.W., Bovik, A.C.,
Joint Source-Channel Distortion Modeling for MPEG-4 Video,
IP(18), No. 1, January 2009, pp. 90-105.
IEEE DOI 0812
BibRef

Sheikh, H.R., Bovik, A.C., Cormack, L.K.,
No-Reference Quality Assessment Using Natural Scene Statistics: JPEG2000,
IP(14), No. 11, November 2005, pp. 1918-1927.
IEEE DOI 0510

See also C-DIIVINE: No-reference Image Quality Assessment Based on Local Magnitude and Phase Statistics of Natural Scenes. BibRef

Charrier, C.[Christophe], Maloney, L.T.[Laurence T.], Cherifi, H.[Hocine], Knoblauch, K.[Kenneth],
Maximum likelihood difference scaling of image quality in compression-degraded images,
JOSA-A(24), No. 11, November 2007, pp. 3418-3426.
DOI Link 0801
BibRef

Caron, A.L.[Andre-Louis], Jodoin, P.M.[Pierre-Marc],
Image Multidistortion Estimation,
IP(20), No. 12, December 2011, pp. 3442-3454.
IEEE DOI 1112
BibRef

Caron, A.L.[Andre-Louis], Jodoin, P.M.[Pierre-Marc], Charrier, C.[Christophe],
Search Strategies for Image Multi-distortion Estimation,
ICPR10(2824-2827).
IEEE DOI 1008
estimate the noise and blur. BibRef

Charrier, C., Knoblauch, K., Maloney, L.T., Bovik, A.C., Moorthy, A.K.,
Optimizing Multiscale SSIM for Compression via MLDS,
IP(21), No. 12, December 2012, pp. 4682-4694.
IEEE DOI 1212
BibRef
Earlier: A1, A2, A3, A4, Only:
Calibrating MS-SSIM for compression distortions using MLDS,
ICIP11(3317-3320).
IEEE DOI 1201
BibRef

Li, D.L.[Dun-Ling], Loew, M.H.[Murray H.],
Analytical-form model observers for decompressed images,
JOSA-A(24), No. 12, December 2007, pp. B188-B197.
DOI Link 0801
Analysis of quality of JPEG compressed images. BibRef

Parvez Sazzad, Z.M., Kawayoke, Y., Horita, Y.,
No reference image quality assessment for JPEG2000 based on spatial features,
SP:IC(23), No. 4, April 2008, pp. 257-268.
Elsevier DOI 0711
BibRef
Earlier:
Spatial Features Based No Reference Image Quality Assessment for JPEG2000,
ICIP07(III: 517-520).
IEEE DOI 0709
Image quality evaluation; JPEG2000; No-reference (NR); Mean opinion score (MOS); Mean opinion score prediction (MOSp); Zero-crossing (ZC) BibRef

Horita, Y.[Yuukou], Sato, M.[Masaharu], Kawayoke, Y.[Yoshikazu], Parvez Sazzad, Z.M., Shibata, K.[Keiji],
Image Quality Evaluation Model Based on Local Features and Segmentation,
ICIP06(405-408).
IEEE DOI 0610
BibRef

Kawayoke, Y.[Yoshikazu], Horita, Y.[Yuukou],
NR objective continuous video quality assessment model based on frame quality measure,
ICIP08(385-388).
IEEE DOI 0810
BibRef

Brooks, A.C., Zhao, X., Pappas, T.N.,
Structural Similarity Quality Metrics in a Coding Context: Exploring the Space of Realistic Distortions,
IP(17), No. 8, August 2008, pp. 1261-1273.
IEEE DOI 0808

See also Structural similarity metrics for texture analysis and retrieval. BibRef

Coulombe, S.[Stephane], Pigeon, S.[Steven],
Low-Complexity Transcoding of JPEG Images With Near-Optimal Quality Using a Predictive Quality Factor and Scaling Parameters,
IP(19), No. 3, March 2010, pp. 712-721.
IEEE DOI 1003
BibRef
Earlier:
Quality-aware selection of quality factor and scaling parameters in JPEG image transcoding,
CIMSVP09(68-74).
IEEE DOI 0903
BibRef

Trudeau, L.[Luc], Coulombe, S.[Stephane], Pigeon, S.[Steven],
Pixel domain referenceless visual degradation detection and error concealment for mobile video,
ICIP11(2229-2232).
IEEE DOI 1201
BibRef

Liang, L.H.[Lu-Hong], Wang, S.Q.[Shi-Qi], Chen, J.H.[Jian-Hua], Ma, S.W.[Si-Wei], Zhao, D.B.[De-Bin], Gao, W.[Wen],
No-reference perceptual image quality metric using gradient profiles for JPEG2000,
SP:IC(25), No. 7, August 2010, pp. 502-516.
Elsevier DOI 1008
Blur; Ringing; Perceptual quality; Gradient profile; Image compression; JPEG2000 BibRef

Wang, Y.[Yue], Jiang, T.T.[Ting-Ting], Ma, S.W.[Si-Wei], Gao, W.[Wen],
Spatio-temporal ssim index for video quality assessment,
VCIP12(1-6).
IEEE DOI 1302
BibRef

Wang, S.Q.[Shi-Qi], Rehman, A.[Abdul], Wang, Z.[Zhou], Ma, S.W.[Si-Wei], Gao, W.[Wen],
Perceptual Video Coding Based on SSIM-Inspired Divisive Normalization,
IP(22), No. 4, April 2013, pp. 1418-1429.
IEEE DOI 1303
BibRef
Earlier:
SSIM-inspired divisive normalization for perceptual video coding,
ICIP11(1657-1660).
IEEE DOI 1201
BibRef

Jia, C.M.[Chuan-Min], Wang, S.Q.[Shi-Qi], Zhang, X.F.[Xin-Feng], Wang, S.S.[Shan-She], Ma, S.W.[Si-Wei],
Spatial-temporal residue network based in-loop filter for video coding,
VCIP17(1-4)
IEEE DOI 1804
image filtering, video coding, STResNet, coding complexity, colocated block, current block, image/video processing, Spatial-Temporal Network BibRef

Wang, Z.[Zhao], Wang, S.Q.[Shi-Qi], Zhang, J.[Jian], Ma, S.W.[Si-Wei],
Local-constrained quadtree plus binary tree block partition structure for enhanced video coding,
VCIP16(1-4)
IEEE DOI 1701
Binary trees BibRef

Luo, F.[Falei], Wang, S.S.[Shan-She], Wang, S.Q.[Shi-Qi], Zhang, X.F.[Xin-Feng], Ma, S.W.[Si-Wei], Gao, W.[Wen],
GPU-Based Hierarchical Motion Estimation for High Efficiency Video Coding,
MultMed(21), No. 4, April 2019, pp. 851-862.
IEEE DOI 1903
Encoding, Graphics processing units, Video coding, Central Processing Unit, Motion estimation, High Efficiency Video Coding BibRef

Feng, L.T.[Long-Tao], Zhang, X.F.[Xin-Feng], Wang, S.S.[Shan-She], Wang, Y.[Yue], Ma, S.W.[Si-Wei],
Coding Prior Based High Efficiency Restoration for Compressed Video,
ICIP19(769-773)
IEEE DOI 1910
Compression artifact reduction, coding prior, deep neural network, video restoration BibRef

Wang, S.S.[Shan-She], Ma, S.W.[Si-Wei], Wang, S.Q.[Shi-Qi], Zhao, D.B.[De-Bin], Gao, W.[Wen],
Fast multi reference frame motion estimation for high efficiency video coding,
ICIP13(2005-2009)
IEEE DOI 1402
High Efficiency Video Coding BibRef

Ma, S.W.[Si-Wei], Wang, S.Q.[Shi-Qi], Gao, W.[Wen],
Overview of IEEE 1857 video coding standard,
ICIP13(1500-1504)
IEEE DOI 1402
AVS;IEEE 1857;background picture;internet video;surveillance BibRef

Kim, K.J., Kim, B., Mantiuk, R., Richter, T., Lee, H., Kang, H.S., Seo, J., Lee, K.H.,
A Comparison of Three Image Fidelity Metrics of Different Computational Principles for JPEG2000 Compressed Abdomen CT Images,
MedImg(29), No. 8, August 2010, pp. 1496-1503.
IEEE DOI 1008
BibRef

Ma, L.[Lin], Li, S.N.[Song-Nan], Ngan, K.N.[King Ngi],
Visual Horizontal Effect for Image Quality Assessment,
SPLetters(17), No. 7, July 2010, pp. 627-630.
IEEE DOI 1006
BibRef

Li, S.N.[Song-Nan], Zhang, F.[Fan], Ma, L.[Lin], Ngan, K.N.[King Ngi],
Image Quality Assessment by Separately Evaluating Detail Losses and Additive Impairments,
MultMed(13), No. 5, 2011, pp. 935-949.
IEEE DOI 1110

See also Reduced-Reference Image Quality Assessment Using Reorganized DCT-Based Image Representation. BibRef

Wu, Q.B.[Qing-Bo], Li, H.L.[Hong-Liang], Ngan, K.N.[King N.], Ma, K.[Kede],
Blind Image Quality Assessment Using Local Consistency Aware Retriever and Uncertainty Aware Evaluator,
CirSysVideo(28), No. 9, September 2018, pp. 2078-2089.
IEEE DOI 1809
Image quality, Training, Uncertainty, Predictive models, Probabilistic logic, Integrated circuit modeling, Distortion, uncertainty aware evaluator BibRef

Zhang, W.X.[Wei-Xia], Ma, K.[Kede], Zhai, G.T.[Guang-Tao], Yang, X.K.[Xiao-Kang],
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild,
IP(30), 2021, pp. 3474-3486.
IEEE DOI 2103
Databases, Distortion, Training, Uncertainty, Predictive models, Image quality, Optimization, Blind image quality assessment, gMAD competition BibRef

Zhang, Y.C.[Yi-Chi], Ngan, K.N.[King Ngi], Ma, L.[Lin], Li, H.L.[Hong-Liang],
Objective Quality Assessment of Image Retargeting by Incorporating Fidelity Measures and Inconsistency Detection,
IP(26), No. 12, December 2017, pp. 5980-5993.
IEEE DOI 1710
image retargeting, deformation artifacts, fidelity measures, quality assessment, BibRef

Li, S.N.[Song-Nan], Ma, L.[Lin], Ngan, K.N.[King Ngi],
Full-Reference Video Quality Assessment by Decoupling Detail Losses and Additive Impairments,
CirSysVideo(22), No. 7, July 2012, pp. 1100-1112.
IEEE DOI 1208
BibRef

Ma, L.[Lin], Li, S.N.[Song-Nan], Ngan, K.N.[King Ngi],
Reduced-Reference Video Quality Assessment of Compressed Video Sequences,
CirSysVideo(22), No. 10, October 2012, pp. 1441-1456.
IEEE DOI 1210
BibRef

Xu, L.[Long], Li, S.N.[Song-Nan], Ngan, K.N.[King Ngi], Ma, L.[Lin],
Consistent Visual Quality Control in Video Coding,
CirSysVideo(23), No. 6, 2013, pp. 975-989.
IEEE DOI 1307
rate-distortion efficiency BibRef

Zhang, F.[Fan], Ma, L.[Lin], Li, S.N.[Song-Nan], Ngan, K.N.[King Ngi],
Practical Image Quality Metric Applied to Image Coding,
MultMed(13), No. 4, 2011, pp. 615-624.
IEEE DOI 1108
BibRef

Zhang, J.[Jing], Ong, S.H., Le, T.M.[Thinh M.],
Kurtosis-based no-reference quality assessment of JPEG2000 images,
SP:IC(26), No. 1, January 2011, pp. 13-23.
Elsevier DOI 1101
Image quality assessment; JPEG2000; Kurtosis; No-reference image quality assessment BibRef

Blanes, I.[Ian], Serra-Sagristŕ, J.[Joan],
Cost and Scalability Improvements to the Karhunen-Loęve Transform for Remote-Sensing Image Coding,
GeoRS(48), No. 7, July 2010, pp. 2854-2863.
IEEE DOI 1007
BibRef
Earlier:
Quality evaluation of progressive lossy-to-lossless remote-sensing image coding,
ICIP09(3709-3712).
IEEE DOI 0911
BibRef

Blanes, I.[Ian], Serra-Sagristŕ, J.[Joan],
Pairwise Orthogonal Transform for Spectral Image Coding,
GeoRS(49), No. 3, March 2011, pp. 961-972.
IEEE DOI 1103
BibRef

Auli-Llinas, F.[Francesc], Blanes, I.[Ian], Bartrina-Rapesta, J.[Joan], Serra-Sagrista, J.[Joan],
Stationary model of probabilities for symbols emitted by bitplane image coders,
ICIP10(497-500).
IEEE DOI 1009
BibRef

Lu, W.[Wen], He, L.[Lihuo], Tang, W.J.[Wen-Jian], Gao, F.[Fei], Hou, W.L.[Wei-Long],
A Novel Compressed Images Quality Metric,
IJIG(11), No. 2, April 2011, pp. 281-292.
DOI Link 1107
BibRef

Shen, J.[Ji], Li, Q.[Qin], Erlebacher, G.,
Hybrid No-Reference Natural Image Quality Assessment of Noisy, Blurry, JPEG2000, and JPEG Images,
IP(20), No. 8, August 2011, pp. 2089-2098.
IEEE DOI 1108
BibRef

Li, Q.[Qin], Ma, J.W.[Jian-Wei], Erlebacher, G.,
A New Reweighted Algorithm With Support Detection for Compressed Sensing,
SPLetters(19), No. 7, July 2012, pp. 419-422.
IEEE DOI 1206
BibRef

Seghir, Z.A.[Zianou Ahmed], Hachouf, F.[Fella],
Edge-region information measure based on deformed and displaced pixel for image quality assessment,
SP:IC(26), No. 8-9, October 2011, pp. 534-549.
Elsevier DOI 1109
BibRef
Earlier:
Image Quality Assessment Based on Edge-Region Information and Distorted Pixel for JPEG and JPEG2000,
ACIVS09(156-166).
Springer DOI 0909
IQA; Difference mean opinion score (DMOS); Displaced pixel; Distorted pixel BibRef

Hou, X.S.[Xing-Song], Jiang, G.F.[Gui-Feng], Ji, R.J.[Rong-Jing], Shi, C.L.[Cheng-Long],
Directional lifting wavelet and universal trellis-coded quantisation-based image coding algorithm and objective quality evaluation,
IET-IPR(5), No. 8, 2011, pp. 693-702.
DOI Link 1108
BibRef
Earlier:
Directional lifting wavelet and universal trellis coded quantization based image coding algorithm and objective quality evaluation,
ICIP10(501-504).
IEEE DOI 1009
BibRef

Lee, S.W.[Sang-Woo], Park, S.J.[Sang Ju],
A new image quality assessment method to detect and measure strength of blocking artifacts,
SP:IC(27), No. 1, January 2012, pp. 31-38.
Elsevier DOI 1201
Blocking artifacts; Blockiness measure; Quantitative metric; Image quality assessment BibRef

Ginesu, G.[Giaime], Pintus, M.[Maurizio], Giusto, D.D.[Daniele D.],
Objective assessment of the WebP image coding algorithm,
SP:IC(27), No. 8, September 2012, pp. 867-874.
Elsevier DOI 1209
Image compression; Lossy coding; Codec assessment BibRef

Gupta, R.[Rajani], Bansod, P.[Prashant], Gamad, R.S.,
Quality Measure of the Compressed Echo, X-Ray and CT Images,
IJIG(13), No. 1, January 2013, pp. 1350006.
DOI Link 1305
BibRef

Golestaneh, S.A., Chandler, D.M.,
No-Reference Quality Assessment of JPEG Images via a Quality Relevance Map,
SPLetters(21), No. 2, February 2014, pp. 155-158.
IEEE DOI 1402
data compression BibRef

Lin, Y.H.[Yu-Hsun], Wu, J.L.[Ja-Ling],
Quality Assessment of Stereoscopic 3D Image Compression by Binocular Integration Behaviors,
IP(23), No. 4, April 2014, pp. 1527-1542.
IEEE DOI 1404
correlation methods BibRef

Song, B.[Bin], Guo, J.[Jie], Li, L.Q.[Ling-Quan], Liu, H.X.[Hai-Xiao],
Estimation of Measurements for Block-Based Compressed Video Sensing: Study of Correlation Noise in Measurement Domain,
IET-IPR(8), No. 10, October 2014, pp. 561-570.
DOI Link 1411
approximation theory
See also Optimal-Correlation-Based Reconstruction for Distributed Compressed Video Sensing. BibRef

Wang, C.[Ci], Shen, M.[Minmin], Yao, C.[Chen],
No-Reference Quality Assessment for DCT-Based Compressed Image,
JVCIR(28), No. 1, 2015, pp. 53-59.
Elsevier DOI 1503
Compression distortion BibRef

Gu, K.[Ke], Wang, S.Q.[Shi-Qi], Zhai, G.T.[Guang-Tao], Ma, S.W.[Si-Wei], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
Content-weighted mean-squared error for quality assessment of compressed images,
SIViP(10), No. 5, May 2016, pp. 803-810.
Springer DOI 1608
BibRef

Jia, C.M.[Chuan-Min], Zhang, X.[Xiang], Zhang, J.[Jian], Wang, S.Q.[Shi-Qi], Ma, S.W.[Si-Wei],
Deep Convolutional Network Based Image Quality Enhancement for Low Bit Rate Image Compression,
VCIP16(1-4)
IEEE DOI 1701
Bit rate BibRef

Wang, Z.Y.[Zhen-Yu], Wang, R.G.[Rong-Gang], Fan, K.[Kui], Sun, H.F.[Hui-Fang], Gao, W.[Wen],
uAVS2: Fast encoder for the 2nd generation IEEE 1857 video coding standard,
SP:IC(53), No. 1, 2017, pp. 13-23.
Elsevier DOI 1703
IEEE 1857 BibRef

Fan, K.[Kui], Wang, R.G.[Rong-Gang], Wang, Z.Y.[Zhen-Yu], Li, G., Gao, W.[Wen],
iAVS2: A Fast Intra-Encoding Platform for IEEE 1857.4,
CirSysVideo(27), No. 12, December 2017, pp. 2726-2738.
IEEE DOI 1712
Acceleration, Algorithm design and analysis, Copper, Encoding, Optimization, Software, Transforms, AVS2, IEEE 1857.4, fast algorithm, video coding BibRef

Zhan, Y., Zhang, R.,
No-Reference JPEG Image Quality Assessment Based on Blockiness and Luminance Change,
SPLetters(24), No. 6, June 2017, pp. 760-764.
IEEE DOI 1705
image coding, MATLAB source code, NR-IQA method, blockiness, luminance change, no reference JPEG image quality assessment, Databases, Discrete cosine transforms, Distortion, Image coding, BibRef

Zhan, Y., Zhang, R.,
No-Reference Image Sharpness Assessment Based on Maximum Gradient and Variability of Gradients,
MultMed(20), No. 7, July 2018, pp. 1796-1808.
IEEE DOI 1806
Distortion, Histograms, Image quality, Measurement, Multimedia communication, Visual systems, Visualization, variability of gradients BibRef

Baig, M.A.[Md Amir], Moinuddin, A.A.[Athar A.], Khan, E.[Ekram], Ghanbari, M.,
Image fidelity estimation from received embedded bitstream,
SIViP(14), No. 3, April 2020, pp. 465-472.
Springer DOI 2004
Decoded from bitstream, how close to the original. BibRef

Damian, C.[Cristian], Garoi, F.[Florin], Udrea, C.[Cristian], Coltuc, D.[Daniela],
The Evaluation of Single-Pixel Camera Resolution,
CirSysVideo(30), No. 8, August 2020, pp. 2517-2523.
IEEE DOI 2008
SPC's distinctive feature is the single detector that measures the linear combinations of pixels instead of pixels as in imaging array. Cameras, Optical imaging, Image resolution, Optical sensors, Optical variables measurement, Image reconstruction, resolution BibRef

Li, B.[Bowen], Tian, M.[Meng], Zhang, W.X.[Wei-Xia], Yao, H.T.[Hong-Tai], Wang, X.P.[Xian-Pei],
Learning to predict the quality of distorted-then-compressed images via a deep neural network,
JVCIR(76), 2021, pp. 103004.
Elsevier DOI 2104
Image quality assessment, Convolutional neural network, Full-reference IQA, No-reference IQA, Distorted-then-compressed BibRef

Zhang, X.F.[Xin-Feng], Kwong, S.[Sam], Kuo, C.C.J.[C.C. Jay],
Data-Driven Transform-Based Compressed Image Quality Assessment,
CirSysVideo(31), No. 9, September 2021, pp. 3352-3365.
IEEE DOI 2109
BibRef
And:
Compressed Image Quality Assessment Based on Saak Features,
ICIP19(1730-1734)
IEEE DOI 1910
Saak, structural distortion, image quality assessment, compressed image, HVS. Feature extraction, Image coding, Distortion, Measurement, Distortion measurement, Visualization, visual masking BibRef


Kong, L.C.[Ling-Chao], Dai, R.[Rui], Zhang, Y.C.[Yu-Chi],
A new quality model for object detection using compressed videos,
ICIP16(3797-3801)
IEEE DOI 1610
Computational modeling. Video quality model to predict detection degradation. BibRef

Forczmanski, P.[Pawel], Mantiuk, R.[Radoslaw],
Adaptive and Quality-Aware Storage of JPEG Files in the Web Environment,
ICCVG14(212-219).
Springer DOI 1410
BibRef

Hanhart, P.[Philippe], Ebrahimi, T.[Touradj],
Quality assessment of a stereo pair formed from decoded and synthesized views using objective metrics,
3DTV12(1-4).
IEEE DOI 1212
BibRef

Lindemann, L.[Lea], Magnor, M.[Marcus],
Assessing the quality of compressed images using EEG,
ICIP11(3109-3112).
IEEE DOI 1201
BibRef

Manfredi, G.[Guido], Ziou, D.[Djemel], Auclair-Fortier, M.F.[Marie-Flavie],
Content Makes the Difference in Compression Standard Quality Assessment,
ACIVS11(437-446).
Springer DOI 1108
BibRef

Khan, M.H.[Mohd. Haroon], Moinuddin, A.A.[Athar A.], Khan, E.[Ekram], Ghanbari, M.[Mohammed],
No-reference image quality assessment of wavelet coded images,
ICIP10(293-296).
IEEE DOI 1009
BibRef

Simone, G.[Gabriele], Caracciolo, V.[Valentina], Pedersen, M.[Marius], Cheikh, F.A.[Faouzi Alaya],
Evaluation of a Difference of Gaussians Based Image Difference Metric in Relation to Perceived Compression Artifacts,
ISVC10(II: 491-500).
Springer DOI 1011
BibRef

Lu, F.[Feng], Wang, H.Q.[Hao-Qian], Ji, X.Y.[Xiang-Yang], Er, G.H.[Gui-Hua],
Quality assessment of 3D asymmetric view coding using spatial frequency dominance model,
3DTV09(1-4).
IEEE DOI 0905
BibRef

Redi, J.[Judith], Liu, H.T.[Han-Tao], Gastaldo, P.[Paolo], Zunino, R.[Rodolfo], Heynderickx, I.[Ingrid],
How to apply spatial saliency into objective metrics for JPEG compressed images?,
ICIP09(961-964).
IEEE DOI 0911
BibRef

Paz, J.[Juan], Miranda, I.[Iroel],
Assuring Quality Bounds for Distance Measurements on JPEG 2000 Compressed CT Scans,
ICIAR09(814-823).
Springer DOI 0907
BibRef

Olsson, R.[Roger],
Empirical Rate-Distortion Analysis of JPEG 2000 3D and H. 264/AVC Coded Integral Imaging Based 3D-Images,
3DTV08(113-116).
IEEE DOI 0805
BibRef

Olsson, R.[Roger], Sjostrom, M.[Marten],
A Depth Dependent Quality Metric for Evaluation of Coded Integral Imaging Based 3D-Images,
3DTV07(1-4).
IEEE DOI 0705
BibRef

Chen, C.H.[Chung-Hao], Yao, Y.[Yi], Page, D.L.[David L.], Abidi, B.R.[Besma R.], Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
Objective Image Quality Evaluation for JPEG, JPEG 2000, and Vidware VisionTM,
PSIVT06(751-760).
Springer DOI 0612
BibRef

Babu, R.V.[R. Venkatesh], Suresh, S.,
GAP-RBF Based NR Image Quality Measurement for JPEG Coded Images,
ICCVGIP06(718-727).
Springer DOI 0612
BibRef

Suresh, S., Babu, R.V.[R. Venkatesh], Sundararajan, N.,
Image Quality Measurement Using Sparse Extreme Learning Machine Classifier,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Barland, R., Saadane, A.,
Blind Quality Metric using a Perceptual Importance Map for JPEG-20000 Compressed Images,
ICIP06(2941-2944).
IEEE DOI 0610
BibRef

Caron, Y., Vincent, N.,
Compressed Image Quality Evaluation using Power Law Models,
ICPR06(III: 657-660).
IEEE DOI 0609
BibRef

Barkowsky, M., Eskofier, B., Bialkowski, J., Kaup, A.,
Influence of the Presentation Time on Subjective Votings of Coded Still Images,
ICIP06(429-432).
IEEE DOI 0610
BibRef

Babu, R.V., Perkis, A.,
An HVS-Based No-Reference Perceptual Quality Assessment of JPEG Coded Images Using Neural Networks,
ICIP05(I: 433-436).
IEEE DOI 0512
BibRef

Kopilovic, I.[Ivan], Szirányi, T.[Tamás],
Comparing Objective and Subjective Quality Results for Compression Pre-processing with Non-linear Diffusion,
ScaleSpace03(729-743).
Springer DOI 0310
BibRef

Kopilovic, I., Sziranyi, T.,
Non-linear scale-selection for image compression improvement obtained by perceptual distortion criteria,
CIAP99(197-202).
IEEE DOI 9909
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Image Quality Evaluation, Geometric Quality, Spatial Distortions .


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