Title :
Coding artifact removal with multiscale postprocessing
Author :
Li, Jin ; Kuo, C. C Jay
Author_Institution :
Sharp Labs. of America, Camas, WA, USA
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;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647380
