DocumentCode :
318317
Title :
Coding artifacts removal using biased anisotropic diffusion
Author :
Yang, Seungjoon ; Hu, Yu-Hen
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Volume :
2
fYear :
1997
fDate :
26-29 Oct 1997
Firstpage :
346
Abstract :
Biased anisotropic diffusion is applied to the coding artifacts removal of the DCT based codec. It is formulated as a cost minimization problem. The weighting factors of the cost function are controlled such that the solution removes the blocking effect and conceals the block losses. It has an advantage over other postprocessing schemes because it handles the discontinuity of the image, smoothes the image selectively, and takes the visual masking in to account. Features needed for the weighting factors are extracted directly from the DCT coefficients to reduce the computational complexity
Keywords :
computational complexity; diffusion; discrete cosine transforms; image coding; minimisation; smoothing methods; transform coding; DCT based codec; biased anisotropic diffusion; block losses; blocking effect; coding artifacts removal; computational complexity; cost function; cost minimization problem; image discontinuity; image selective smoothing; postprocessing schemes; visual masking; weighting factors; Anisotropic magnetoresistance; Bit rate; Codecs; Computational complexity; Cost function; Degradation; Discrete cosine transforms; Filtering; Frequency; Image coding; Video compression;
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.1997.638767
Filename :
638767
Link To Document :
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