1997 International Conference on Image Processing (ICIP'97) - Volume 1
Coding artifact removal with multiscale postprocessing
Washington, DC
October 26-October 29
ISBN: 0-8186-8183-7
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.
Index Terms:
image coding; multiscale postprocessing; coding artifact removal; multiscale post processing algorithm; constrained optimization; Huber Markov random field; decoded image enhancement; postprocessing algorithm; coarse scale; long range artifacts; ringing; fine scale; edge sharpness; efficiency; experimental results; DCT coder; wavelets coder
Citation:
Jin Li, C.-C.J. Kuo, "Coding artifact removal with multiscale postprocessing," icip, vol. 1, pp.45, 1997 International Conference on Image Processing (ICIP'97) - Volume 1, 1997
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