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Titolo:
Reduced-complexity iterative post-filtering of video
Autore:
Robertson, MA; Stevenson, RL;
Indirizzi:
Univ Notre Dame, Dept Elect Engn, Lab Image & Signal Anal, Notre Dame, IN 46556 USA Univ Notre Dame Notre Dame IN USA 46556 al Anal, Notre Dame, IN 46556 USA
Titolo Testata:
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
fascicolo: 10, volume: 11, anno: 2001,
pagine: 1121 - 1127
SICI:
1051-8215(200110)11:10<1121:RIPOV>2.0.ZU;2-U
Fonte:
ISI
Lingua:
ENG
Soggetto:
TRANSFORM; ARTIFACTS;
Keywords:
compressed video post-processing; iterative filtering; MAP post-processing; quantization constraint set;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
--discip_EC--
Citazioni:
16
Recensione:
Indirizzi per estratti:
Indirizzo: Robertson, MA Univ Notre Dame, Dept Elect Engn, Lab Image & Signal Anal, Notre Dame, IN 46556 USA Univ Notre Dame Notre Dame IN USA 46556 Dame, IN 46556 USA
Citazione:
M.A. Robertson e R.L. Stevenson, "Reduced-complexity iterative post-filtering of video", IEEE CIR SV, 11(10), 2001, pp. 1121-1127

Abstract

There are numerous methods of post-processing that make use of iterative techniques. Many of these schemes have been demonstrated to be very effective in removing artifacts from compressed video, producing better and better image estimates at each iteration. However, this artifact removal comes at the cost of a large computational burden. This paper introduces two methodsfor iterative post-processing of compressed video in an efficient manner. One of these methods is applicable to one particular maximum a posteriori scheme. The other method has direct application to other, more general, iterative post-processing schemes that make use of a convex constraint set, which is the set of all images that will re-compress to yield the originally-received data. The combination of these two methods produces a post-processing algorithm that has the advantage of many iterative schemes (excellent visual results), while requiring a relatively low amount of computational effort to achieve these results.

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Documento generato il 25/01/20 alle ore 06:18:48