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231224s2013 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2012.2215618
|2 doi
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|a pubmed24n0736.xml
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|a (NLM)22949060
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
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|a Sun, Jun
|e verfasserin
|4 aut
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|a Rate-distortion analysis of dead-zone plus uniform threshold scalar quantization and its application--part I
|b fundamental theory
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|c 2013
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|a Text
|b txt
|2 rdacontent
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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 03.06.2013
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|a Date Revised 27.12.2012
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a This paper provides a systematic rate-distortion (R-D) analysis of the dead-zone plus uniform threshold scalar quantization (DZ+UTSQ) with nearly uniform reconstruction quantization (NURQ) for generalized Gaussian distribution (GGD), which consists of two aspects: R-D performance analysis and R-D modeling. In R-D performance analysis, we first derive the preliminary constraint of optimum entropy-constrained DZ+UTSQ/NURQ for GGD, under which the property of the GGD distortion-rate (D-R) function is elucidated. Then for the GGD source of actual transform coefficients, the refined constraint and precise conditions of optimum DZ+UTSQ/NURQ are rigorously deduced in the real coding bit rate range, and efficient DZ+UTSQ/NURQ design criteria are proposed to reasonably simplify the utilization of effective quantizers in practice. In R-D modeling, inspired by R-D performance analysis, the D-R function is first developed, followed by the novel rate-quantization (R-Q) and distortion-quantization (D-Q) models derived using analytical and heuristic methods. The D-R, R-Q, and D-Q models form the source model describing the relationship between the rate, distortion, and quantization steps. One application of the proposed source model is the effective two-pass VBR coding algorithm design on an encoder of H.264/AVC reference software, which achieves constant video quality and desirable rate control accuracy
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Duan, Yizhou
|e verfasserin
|4 aut
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|a Li, Jiangtao
|e verfasserin
|4 aut
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| 700 |
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|a Liu, Jiaying
|e verfasserin
|4 aut
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| 700 |
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|a Guo, Zongming
|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 22(2013), 1 vom: 15. Jan., Seite 202-14
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
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|g volume:22
|g year:2013
|g number:1
|g day:15
|g month:01
|g pages:202-14
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|u http://dx.doi.org/10.1109/TIP.2012.2215618
|3 Volltext
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