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|e rakwb
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|a eng
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| 100 |
1 |
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|a Chuah, Sceuchin
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Symbol
|b see text]2 Optimized predictive image coding with [Symbol: see text]∞ bound
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|c 2013
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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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| 500 |
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|a Date Completed 16.05.2014
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| 500 |
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|a Date Revised 13.11.2013
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a In many scientific, medical, and defense applications of image/video compression, an [Symbol: see text]∞ error bound is required. However, pure[Symbol: see text]∞-optimized image coding, colloquially known as near-lossless image coding, is prone to structured errors such as contours and speckles if the bit rate is not sufficiently high; moreover, most of the previous [Symbol: see text]∞-based image coding methods suffer from poor rate control. In contrast, the [Symbol: see text]2 error metric aims for average fidelity and hence preserves the subtlety of smooth waveforms better than the ∞ error metric and it offers fine granularity in rate control, but pure [Symbol: see text]2-based image coding methods (e.g., JPEG 2000) cannot bound individual errors as the [Symbol: see text]∞-based methods can. This paper presents a new compression approach to retain the benefits and circumvent the pitfalls of the two error metrics. A common approach of near-lossless image coding is to embed into a DPCM prediction loop a uniform scalar quantizer of residual errors. The said uniform scalar quantizer is replaced, in the proposed new approach, by a set of context-based [Symbol: see text]2-optimized quantizers. The optimization criterion is to minimize a weighted sum of the [Symbol: see text]2 distortion and the entropy while maintaining a strict [Symbol: see text]∞ error bound. The resulting method obtains good rate-distortion performance in both [Symbol: see text]2 and [Symbol: see text]∞ metrics and also increases the rate granularity. Compared with JPEG 2000, the new method not only guarantees lower [Symbol: see text]∞ error for all bit rates, but also it achieves higher PSNR for relatively high bit rates
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| 650 |
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4 |
|a Journal Article
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| 700 |
1 |
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|a Dumitrescu, Sorina
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wu, Xiaolin
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 22(2013), 12 vom: 02. Dez., Seite 5271-81
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|x 1941-0042
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|g volume:22
|g year:2013
|g number:12
|g day:02
|g month:12
|g pages:5271-81
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