Coding artifact removal with multiscale postprocessing

Author

Li, Jin ; Kuo, C. C Jay

Author_Institution

Sharp Labs. of America, Camas, WA, USA

Volume

1

fYear

1997

fDate

26-29 Oct 1997

Firstpage

45

Abstract

A multiscale post processing algorithm based on constrained optimization with the Huber Markov random field (HMRF) model is investigated. The decoded image is enhanced from coarse to fine scales, where postprocessing at the coarse scale improves the global appearance of the image and reduces long range artifacts such as ringing while postprocessing at the fine scale keeps the sharpness of edges. The efficiency of the proposed algorithm is supported by experimental results

Keywords

discrete cosine transforms; image coding; image enhancement; transform coding; wavelet transforms; DCT coder; Huber Markov random field; coarse scale; coding artifact removal; constrained optimization; decoded image enhancement; edge sharpness; efficiency; experimental results; fine scale; long range artifacts; multiscale post processing algorithm; multiscale postprocessing; postprocessing algorithm; ringing; wavelets coder; Constraint optimization; Discrete cosine transforms; Entropy; Image coding; Image enhancement; Iterative decoding; Laboratories; Markov random fields; Smoothing methods; Streaming media;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.647380

Filename

647380