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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2006.7
- 수록면
- 296 - 299 (4page)
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초록· 키워드
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This paper presents a postprocessing algorithm for block-coded images based on singularity detection in multiscale edge. The local maxima of a wavelet transform modulus from multiscale edges detect all singularities including blocking artifacts. Accordingly, the proposed algorithm discriminates between a blocking artifact and an edge by estimating the Lipschitz regularity of the local maxima and removing the wavelet transform modulus of a blocking artifact that has a negative Lipschitz regularity exponent. Experimental results showed that the performance of the proposed algorithm was objectively and subjectively superior.
목차
ABSTRACT
1. INTRODUCTION
2. PROPOSED POSTPROCESSING ALGORITHM
3. EXPERIMENTAL RESULTS
4. CONCLUSIONS
5. ACKNOWLEDGEMENT
6. REFERENCES
참고문헌 (0)
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UCI(KEPA) : I410-ECN-0101-2012-004-004267053