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L2 restoration of l∞-decoded images via soft-decision estimation
Zhou J.1; Wu X.1; Zhang L.2
2012-11-26
Source PublicationIEEE Transactions on Image Processing
ISSN10577149
Volume21Issue:12Pages:4797-4807
Abstract

The l-constrained image coding is a technique to achieve substantially lower bit rate than strictly (mathematically) lossless image coding, while still imposing a tight error bound at each pixel. However, this technique becomes inferior in the l distortion metric if the bit rate decreases further. In this paper, we propose a new soft decoding approach to reduce the l distortion of l-decoded images and retain the advantages of both minmax and least-square approximations. The soft decoding is performed in a framework of image restoration that exploits the tight error bounds afforded by the l-constrained coding and employs a context modeler of quantization errors. Experimental results demonstrate that the l-constrained hard decoded images can be restored to gain more than 2 dB in peak signal-to-noise ratio PSNR, while still retaining tight error bounds on every single pixel. The new soft decoding technique can even outperform JPEG 2000 (a state-of-the-art encoder-optimized image codec) for bit rates higher than 1 bpp, a critical rate region for applications of near-lossless image compression. All the coding gains are made without increasing the encoder complexity as the heavy computations to gain coding efficiency are delegated to the decoder. © 1992-2012 IEEE.

KeywordContext Modeling Image Restoration Markov Random Field Mrf Near-lossless Image Coding
DOI10.1109/TIP.2012.2202672
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000311363200010
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Cited Times [WOS]:8   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.McMaster University, Faculty of Engineering
2.Hong Kong Polytechnic University
Recommended Citation
GB/T 7714
Zhou J.,Wu X.,Zhang L.. L2 restoration of l∞-decoded images via soft-decision estimation[J]. IEEE Transactions on Image Processing,2012,21(12):4797-4807.
APA Zhou J.,Wu X.,&Zhang L..(2012).L2 restoration of l∞-decoded images via soft-decision estimation.IEEE Transactions on Image Processing,21(12),4797-4807.
MLA Zhou J.,et al."L2 restoration of l∞-decoded images via soft-decision estimation".IEEE Transactions on Image Processing 21.12(2012):4797-4807.
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