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231224s2012 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2012.2202672
|2 doi
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|a eng
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|a Zhou, Jiantao
|e verfasserin
|4 aut
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|a l2 Restoration of l∞-decoded images via soft-decision estimation
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|c 2012
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|a Text
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 13.05.2013
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|a Date Revised 29.11.2012
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a 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(2) distortion metric if the bit rate decreases further. In this paper, we propose a new soft decoding approach to reduce the l(2) 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
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|a Journal Article
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|a Wu, Xiaolin
|e verfasserin
|4 aut
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|a Zhang, Lei
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 21(2012), 12 vom: 09. Dez., Seite 4797-807
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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|g volume:21
|g year:2012
|g number:12
|g day:09
|g month:12
|g pages:4797-807
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|u http://dx.doi.org/10.1109/TIP.2012.2202672
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