Artifact reduction of compressed images and video combining adaptive fuzzy filtering and directional anisotropic diffusion
Publication: Research - peer-review › Article in proceedings – Annual report year: 2011
Fuzzy filtering is one of the recently developed methods for reducing distortion in compressed images and video. In this paper, we combine the powerful anisotropic diffusion equations with fuzzy filtering in order to reduce the impact of artifacts. Based on the directional nature of the blocking and ringing artifacts, we have applied directional anisotropic diffusion. Besides that, the selection of the adaptive threshold parameter for the diffusion coefficient has also improved the performance of the algorithm. Experimental results on JPEG compressed images as well as MJPEG and H.264 compressed videos show improvement in artifact reduction of the proposed algorithm over other directional and spatial fuzzy filters.
|Title of host publication||2011 3rd European Workshop on Visual Information Processing (EUVIP)|
|Conference||European Workshop on Visual Information Processing|
|Period||01/01/11 → …|
|Citations||Web of Science® Times Cited: No match on DOI|
- H.264, Artifact Reduction, Anisotropic Diffusion, Fuzzy filter
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