5.4.12.1 General Rate-Distortion Tradeoff Issues, Single Images

Ruf, M.J., Modestino, J.W.,
Operational Rate-Distortion Performance for Joint Source and Channel Coding of Images,
IP(8), No. 3, March 1999, pp. 305-320.
IEEE DOI BibRef 9903
Earlier:
Rate-distortion performance for joint source and channel coding of images,
ICIP95(II: 77-80).
IEEE DOI 9510
BibRef

Li, J., Lei, S.,
An Embedded Still Image Coder with Rate-Distortion Optimization,
IP(8), No. 7, July 1999, pp. 913-924.
IEEE DOI BibRef 9907

Chung, D.M., Wang, Y.,
Multiple Description Image Coding Using Signal Decomposition and Reconstruction Based on Lapped Orthogonal Transforms,
CirSysVideo(9), No. 6, September 1999, pp. 895-908.
IEEE Top Reference. BibRef 9909

Chung, D.M.[Doo-Man], Wang, Y.[Yao],
Lapped orthogonal transforms designed for error-resilient image coding,
CirSysVideo(12), No. 9, September 2002, pp. 752-764.
IEEE Top Reference. 0209
BibRef
Earlier:
Lapped Orthogonal Transform Designed for Error Resilient Image Coding,
ICIP00(Vol III: 368-371).
IEEE DOI 0008
BibRef
Earlier:
Multiple description image coding based on lapped orthogonal transforms,
ICIP98(I: 664-668).
IEEE DOI 9810
BibRef

Wang, Y.[Yao], Orchard, M.T., Vaishampayan, V., Reibman, A.R.,
Multiple description coding using pairwise correlating transforms,
IP(10), No. 3, March 2001, pp. 351-366.
IEEE DOI 0001
BibRef
Earlier: A1, A2, A4, A3:
Redundancy Rate-Distortion Analysis of Multiple Description Coding Using Pairwise Correlating Transforms,
ICIP97(I: 608-611).
IEEE DOI
See also Multiple-Description Video Coding Using Motion-Compensated Temporal Prediction. BibRef

Wang, Y.[Yao], Orchard, M.T., Reibman, A.R.,
Optimal pairwise correlating transforms for multiple description coding,
ICIP98(I: 679-683).
IEEE DOI 9810
BibRef

Wang, X., Orchard, M.T.,
Multiple Description Coding Using Trellis Coded Quantization,
ICIP00(Vol I: 391-394).
IEEE DOI 0008
BibRef

Tao, B.[Bo], Orchard, M.T.,
Prediction of Second-Order Statistics in Motion-Compensated Video Coding,
ICIP98(III: 910-914).
IEEE DOI 9810

See also Multiple-Description Video Coding Using Motion-Compensated Temporal Prediction. BibRef

He, Z.H.[Zhi-Hai], Mitra, S.K.,
A unified rate-distortion analysis framework for transform coding,
CirSysVideo(11), No. 12, December 2001, pp. 1221-1236.
IEEE Top Reference. 0201

See also Low-delay rate control for DCT video coding via rho-domain source modeling. BibRef

He, Z.H.[Zhi-Hai], Mitra, S.K.,
Novel rate-distortion analysis framework for bit rate and picture quality control in DCT visual coding,
VISP(148), No. 6, December 2001, pp. 398-406.
IEEE Top Reference. 0203
BibRef

Feng, H.Y.[Han-Ying], Effros, M.,
On the rate-distortion performance and computational efficiency of the Karhunen-Loeve transform for lossy data compression,
IP(11), No. 2, February 2002, pp. 113-122.
IEEE DOI 0202
BibRef

Morbee, M.[Marleen], Roca, A.[Antoni], Prades-Nebot, J.[Josep], Pižurica, A.[Aleksandra], Philips, W.[Wilfried],
Reduced decoder complexity and latency in pixel-domain Wyner-Ziv video coders,
SIViP(2), No. 2, June 2008, pp. xx-yy.
Springer DOI 0711
BibRef
Earlier: A1, A3, A2, A4, A5:
Improved Pixel-Based Rate Allocation for Pixel-Domain Distributed Video Coders Without Feedback Channel,
ACIVS07(663-674).
Springer DOI 0708
BibRef

Prades-Nebot, J.[Jose],
Very low-complexity coding of images using adaptive Modulo-PCM,
ICIP11(305-308).
IEEE DOI 1201
BibRef

Prades-Nebot, J.[Josep], Roca, A.[Antoni], Delp, E.J.[Edward J.],
Modulo-PCM based encoding for high speed video cameras,
ICIP08(153-156).
IEEE DOI 0810
BibRef

Morbee, M.[Marleen], Tessens, L.[Linda], Luong, H.Q., Prades-Nebot, J.[Josep], Pizurica, A.[Aleksandra], Philips, W.[Wilfried],
A Distributed Coding-Based Content-Aware Multi-View Video System,
ICDSC07(355-362).
IEEE DOI 0709
BibRef
And: A1, A2, A4, A5, A6, Only:
A Distributed Coding-Based Extension of a Mono-View to a Multi-View Video System,
3DTV07(1-4).
IEEE DOI 0705
BibRef

Prades-Nebot, J., Cook, G.W.,
Analysis of the performance of predictive SNR scalable coders,
ICIP03(III: 861-864).
IEEE DOI 0312
BibRef

Wang, C.[Chuntao], Ni, J.Q.[Jiang-Qun], Huang, Q.[Qiong],
A new encryption-then-compression algorithm using the rate-distortion optimization,
SP:IC(39, Part A), No. 1, 2015, pp. 141-150.
Elsevier DOI 1512
Compression of encrypted image BibRef

Amirjanov, A.[Adil], Dimililer, K.[Kamil],
Image compression system with an optimisation of compression ratio,
IET-IPR(13), No. 11, 19 September 2019, pp. 1960-1969.
DOI Link 1909
BibRef

Wang, H., Yu, L., Liang, J., Yin, H., Li, T., Wang, S.,
Hierarchical Predictive Coding-Based JND Estimation for Image Compression,
IP(30), 2021, pp. 487-500.
IEEE DOI 2012
Visualization, Estimation, Visual perception, Predictive coding, Image coding, Predictive models, Neurons, JND estimation, VVC BibRef

Wang, J.M.[Jian-Ming], Wang, W.[Wei], Chen, J.H.[Jian-Hua],
Adaptive Rate Block Compressive Sensing Based on Statistical Characteristics Estimation,
IP(31), 2022, pp. 734-747.
IEEE DOI 2201
Image reconstruction, Sparse matrices, Compressed sensing, Sensors, Memory management, Image coding, Estimation, Compressive sensing, background subtraction BibRef

Guerin, N.D.[Nilson D.], da Silva, R.C.[Renam Castro], de Oliveira, M.C.[Matheus C.], Jung, H.C.[Henrique C.], Martins, L.G.R.[Luiz Gustavo R.], Peixoto, E.[Eduardo], Macchiavello, B.[Bruno], Hung, E.M.[Edson M.], Testoni, V.[Vanessa], Freitas, P.G.[Pedro Garcia],
Rate-constrained learning-based image compression,
SP:IC(101), 2022, pp. 116544.
Elsevier DOI 2201
Image coding, Neural networks, Rate-distortion, Rate control, Learning-based compression BibRef

Guerin, N.D.[Nilson D.], da Silva, R.C.[Renam Castro], Macchiavello, B.[Bruno],
Learning-Based Image Compression With Parameter-Adaptive Rate-Constrained Loss,
SPLetters(31), 2024, pp. 1099-1103.
IEEE DOI 2405
Training, Entropy, Quantization (signal), Image coding, Noise, Estimation, Adaptation models, Convolutional neural network, variational autoencoder BibRef

Duan, Z.H.[Zhi-Hao], Lu, M.[Ming], Ma, J.[Jack], Huang, Y.N.[Yu-Ning], Ma, Z.[Zhan], Zhu, F.Q.[Feng-Qing],
QARV: Quantization-Aware ResNet VAE for Lossy Image Compression,
PAMI(46), No. 1, January 2024, pp. 436-450.
IEEE DOI 2312
BibRef
Earlier: A1, A2, A5, A6, Only:
Lossy Image Compression with Quantized Hierarchical VAEs,
WACV23(198-207)
IEEE DOI 2302
Award, WACV, Algorithms. Adaptation models, Image coding, Quantization (signal), Computational modeling, Neural networks, Rate distortion theory BibRef

Wei, X.K.[Xue-Kai], Zhou, M.L.[Ming-Liang], Wang, H.Q.[He-Qiang], Yang, H.Y.[Hao-Yan], Chen, L.[Lei], Kwong, S.[Sam],
Recent Advances in Rate Control: From Optimization to Implementation and Beyond,
CirSysVideo(34), No. 1, January 2024, pp. 17-33.
IEEE DOI 2401
Survey, Rate Control. BibRef

Hui, C.[Chen], Zhang, S.P.[Sheng-Ping], Cui, W.X.[Wen-Xue], Liu, S.H.[Shao-Hui], Jiang, F.[Feng], Zhao, D.B.[De-Bin],
Rate-Adaptive Neural Network for Image Compressive Sensing,
MultMed(26), 2024, pp. 2515-2530.
IEEE DOI 2402
Image reconstruction, Resource management, Optimization, Distortion measurement, Deep learning, Adaptive systems, image compression BibRef

Shi, J.Q.[Jun-Qi], Lu, M.[Ming], Ma, Z.[Zhan],
Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression,
CirSysVideo(34), No. 5, May 2024, pp. 3082-3095.
IEEE DOI Code:
WWW Link. 2405
Quantization (signal), Image coding, Task analysis, Transforms, Rate-distortion, Complexity theory, Distortion, task loss BibRef

Gao, Y.X.[Yi-Xin], Feng, R.S.[Run-Sen], Guo, Z.Y.[Zong-Yu], Chen, Z.B.[Zhi-Bo],
Exploring the rate-distortion-complexity optimization in neural image compression,
JVCIR(105), 2024, pp. 104294.
Elsevier DOI 2501
Neural image compression, Rate-distortion-complexity optimization, Variable-complexity BibRef

Liu, J.M.[Jin-Ming], Feng, R.Y.[Ruo-Yu], Qi, Y.P.[Yun-Peng], Chen, Q.Y.[Qiu-Yu], Chen, Z.B.[Zhi-Bo], Zeng, W.J.[Wen-Jun], Jin, X.[Xin],
Rate-distortion-cognition Controllable Versatile Neural Image Compression,
ECCV24(LVI: 329-348).
Springer DOI 2412
BibRef

Gómez, P.[Pablo], Meoni, G.[Gabriele],
Tackling the Satellite Downlink Bottleneck with Federated Onboard Learning of Image Compression,
AI4Space24(6809-6818)
IEEE DOI 2410
Training, Image quality, Earth, Image coding, Satellites, Neural networks, Transform coding, Onboard ML, Onboard compression, Sentinel-2 raw data BibRef

Güngördü, O.[Oguzhan], Tekalp, A.M.[A. Murat],
Saliency-Aware End-to-End Learned Variable-Bitrate 360-Degree Image Compression,
ICIP24(1795-1801)
IEEE DOI 2411
Uniform resource locators, Visualization, Solid modeling, Image coding, Bit rate, Virtual reality, Predictive models, variable-rate coding BibRef

Iwai, S.[Shoma], Miyazaki, T.[Tomo], Omachi, S.[Shinichiro],
Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model,
WACV24(2888-2897)
IEEE DOI 2404
Image coding, Bit rate, Rate-distortion, Rate distortion theory, Distortion, Controllability, Algorithms BibRef

Tong, K.[Kedeng], Wu, Y.J.[Yao-Jun], Li, Y.[Yue], Zhang, K.[Kai], Zhang, L.[Li], Jin, X.[Xin],
QVRF: A Quantization-Error-Aware Variable Rate Framework for Learned Image Compression,
ICIP23(1310-1314)
IEEE DOI Code:
WWW Link. 2312
BibRef

Kao, C.H.[Chia-Hao], Weng, Y.C.[Ying-Chieh], Chen, Y.H.[Yi-Hsin], Chiu, W.C.[Wei-Chen], Peng, W.H.[Wen-Hsiao],
Transformer-Based Variable-Rate Image Compression with Region-of-Interest Control,
ICIP23(2960-2964)
IEEE DOI 2312
BibRef

Duan, Z.H.[Zhi-Hao], Ma, J.[Jack], He, J.P.[Jiang-Peng], Zhu, F.Q.[Feng-Qing],
An Improved Upper Bound on the Rate-Distortion Function of Images,
ICIP23(246-250)
IEEE DOI 2312
BibRef

Qi, C.Y.[Chen-Yang], Yang, X.[Xin], Cheng, K.L.[Ka Leong], Chen, Y.C.[Ying-Cong], Chen, Q.F.[Qi-Feng],
Real-time 6K Image Rescaling with Rate-distortion Optimization,
CVPR23(14092-14101)
IEEE DOI 2309
BibRef

Gupta, R.[Rushil], Suryateja, B.V., Kapoor, N.[Nikhil], Jaiswal, R.[Rajat], Nangi, S.[Sharmila], Kulkarni, K.[Kuldeep],
User-Guided Variable Rate Learned Image Compression,
CLIC22(1752-1757)
IEEE DOI 2210
Measurement, Image coding, Computational modeling, Bit rate BibRef

Wang, D.Z.[De-Zhao], Yang, W.H.[Wen-Han], Hu, Y.Y.[Yue-Yu], Liu, J.Y.[Jia-Ying],
Neural Data-Dependent Transform for Learned Image Compression,
CVPR22(17358-17367)
IEEE DOI 2210
Photography, Image coding, Codecs, Rate-distortion, Transforms, Streaming media, Decoding, Low-level vision, Computational photography BibRef

Zou, R.J.[Ren-Jie], Song, C.F.[Chun-Feng], Zhang, Z.X.[Zhao-Xiang],
The Devil Is in the Details: Window-Based Attention for Image Compression,
CVPR22(17471-17480)
IEEE DOI 2210
Representation learning, Image coding, Redundancy, Rate-distortion, Transformer cores, Transformers, Decoding, Low-level vision, Image and video synthesis and generation BibRef

Jiang, W.[Wei], Wang, W.[Wei], Li, S.[Songnan], Liu, S.[Shan],
Online Meta Adaptation for Variable-Rate Learned Image Compression,
NTIRE22(497-505)
IEEE DOI 2210
Training, Learning systems, Deep learning, Image coding, Quantization (signal), Neural networks, Estimation BibRef

Xiao, J.H.[Jiu-Hong], Aggarwal, L.[Lavisha], Banerjee, P.[Prithviraj], Aggarwal, M.[Manoj], Medioni, G.[Gerard],
Identity Preserving Loss for Learned Image Compression,
NTIRE22(516-525)
IEEE DOI 2210
Image coding, Image recognition, Face recognition, Computational modeling, Intellectual property, Robustness BibRef

Sinha, A.K.[Abhishek Kumar], Moorthi, S.M.[S. Manthira], Dhar, D.[Debajyoti],
Self-Supervised Variable Rate Image Compression using Visual Attention,
CLIC22(1720-1724)
IEEE DOI 2210
Visualization, Image coding, Image analysis, Self-supervised learning, Distortion BibRef

Löhdefink, J.[Jonas], Sitzmann, J.[Jonas], Bär, A.[Andreas], Fingscheidt, T.[Tim],
Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression,
CLIC22(1731-1736)
IEEE DOI 2210
Training, Image coding, Codes, Vector quantization, Bit rate BibRef

Baek, C.[Christina], Wu, Z.Y.[Zi-Yang], Chan, K.H.R.[Kwan Ho Ryan], Ding, T.J.[Tian-Jiao], Ma, Y.[Yi], Haeffele, B.D.[Benjamin D.],
Efficient Maximal Coding Rate Reduction by Variational Forms,
CVPR22(490-498)
IEEE DOI 2210
Training, Computational modeling, Minimization, Encoding, System identification, Optimization methods, Representation learning BibRef

Li, B.[Binzhe], Wang, S.[Shurun], Wang, S.Q.[Shi-Qi],
Defending Against Noise by Characterizing the Rate-Distortion Functions in End-to-End Noisy Image Compression,
ICIP21(3727-3731)
IEEE DOI 2201
Deep learning, Video coding, Image coding, Codecs, Rate-distortion, Noise measurement, Rate-distortion function, noisy images BibRef

Schäfer, M.[Michael], Pientka, S.[Sophie], Pfaff, J.[Jonathan], Schwarz, H.[Heiko], Marpe, D.[Detlev], Wiegand, T.[Thomas],
Rate-Distortion-Optimization for Deep Image Compression,
ICIP21(3737-3741)
IEEE DOI 2201
Image coding, Quantization (signal), Nonlinear distortion, Transform coding, Artificial neural networks, Hardware, Rate-Distortion-optimization BibRef

Cui, Z.[Ze], Wang, J.[Jing], Gao, S.[Shangyin], Guo, T.S.[Tian-Sheng], Feng, Y.H.[Yi-Hui], Bai, B.[Bo],
Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation,
CVPR21(10527-10536)
IEEE DOI 2111
Degradation, Deep learning, Training, Adaptation models, Interpolation, Image coding, Codecs BibRef

Wang, X.N.[Xi-Ning], Chen, T.[Tong], Ma, Z.[Zhan],
Subjective Quality Optimized Efficient Image Compression,
CLIC21(1911-1915)
IEEE DOI 2109
Measurement, Image coding, Inference mechanisms, Memory management, Distortion BibRef

Cheng, Z.X.[Zheng-Xue], Fu, T.[Ting], Hu, J.P.[Jia-Peng], Guo, L.[Li], Wang, S.H.[Shi-Hao], Zhao, X.X.[Xiong-Xin], Zhou, D.J.[Da-Jiang], Song, Y.[Yang],
Perceptual Image Compression using Relativistic Average Least Squares GANs,
CLIC21(1895-1900)
IEEE DOI 2109
Training, Visualization, Image coding, Rate-distortion, Generative adversarial networks BibRef

Ma, Y.[Yi], Zhai, Y.Q.[Yong-Qi], Yang, C.H.[Chun-Hui], Yang, J.[Jiayu], Wang, R.[Ruofan], Zhou, J.[Jing], Li, K.[Kai], Chen, Y.[Ying], Wang, R.G.[Rong-Gang],
Variable Rate ROI Image Compression Optimized for Visual Quality,
CLIC21(1936-1940)
IEEE DOI 2109
Measurement, Visualization, Image coding, Computational modeling, Rate distortion theory, Distortion, Servers BibRef

Hu, Y., Xia, S., Yang, W., Liu, J.,
Sensitivity-Aware Bit Allocation for Intermediate Deep Feature Compression,
VCIP20(475-478)
IEEE DOI 2102
Sensitivity, Image coding, Bit rate, Loss measurement, Image reconstruction, Video codecs, Task analysis, deep learning BibRef

He, D.K.[Da-Ke], Wang, J.[Jing],
Rate distortion optimized quantization based on weighted mean squared error for lossy image coding,
ICIP14(5606-5610)
IEEE DOI 1502
Image coding BibRef

Vijayanagar, K.R.[Krishna Rao], Liu, Y.[Ying], Kim, J.[Joohee],
Adaptive measurement rate allocation for block-based compressed sensing of depth maps,
ICIP14(1307-1311)
IEEE DOI 1502
Codecs BibRef

Winken, M.[Martin], Marpe, D.M.[Detlev M.], Wiegand, T.[Thomas],
Global and local rate-distortion optimization for Lapped Biorthogonal Transform coding,
ICIP10(173-176).
IEEE DOI 1009
BibRef

Xian-Min, M.[Ma],
Improved EZW Compression Coding Algorithm for Coal Gangue Image,
CISP09(1-4).
IEEE DOI 0910
BibRef

Tarisor, C., Antonini, M.[Marc], Barlaud, M.[Michel],
Stripe-based MSE control in image coding,
ICIP02(II: 649-652).
IEEE DOI 0210
BibRef

Liu, J.C.,
A Multi-channel Channel-optimized Scheme for EZW Using Rate-distortion Functions,
ICIP00(Vol I: 395-398).
IEEE DOI 0008
BibRef

Weidmann, C., Vetterli, M., Ortega, A., and Carignano, F.,
Soft Caching: Image Caching in a Rate-Distortion Framework,
ICIP97(II: 696-699).
IEEE DOI BibRef 9700

Webb, J.L.H.[Jennifer L.H.], and Oehler, K.,
A Simple Rate-Distortion Model, Parameter Estimation, and Application to Real-Time Rate Control for DCT-Based Coders,
ICIP97(II: 13-16).
IEEE DOI 9710
BibRef

Liu, J.C.[Jen-Chang], Hwang, W.L.[Wen L.], Hwang, W.J.[Wen-Jyi], Chen, M.S.[Ming-Syan],
Robust Block-Based EZW Image Compression with Channel Noise Optimized Rate-Distortion Functions,
ICIP99(II:560-564).
IEEE DOI BibRef 9900

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Hardware and Architecture for Image Coding .