Optimization of image quality for decoded images using three-dimensional smoothing method

Joint Photographic Experts Group (JPEG) baseline algorithm is widely used because of its high compression capability. The algorithm has a characteristic that the degradation of image quality tends to be perceived as the compression ratio becomes high. The eyesore degradations are false contour and m...

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Bibliographic Details
Published inApplied mathematics and computation Vol. 120; no. 1; pp. 301 - 311
Main Authors Shohdohji, Tsutomu, Hoshino, Yasushi
Format Journal Article Conference Proceeding
LanguageEnglish
Published New York, NY Elsevier Inc 10.05.2001
Elsevier
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
DCT
Exact sciences and technology
False contour
JPEG
Method of least squares
Pattern recognition. Digital image processing. Computational geometry
Smoothing algorithm
JPEG
DCT
False contour
Method of least squares
Smoothing algorithm
Image processing
Data compression
Entropy
Decoding
Image restoration
Algorithm
Optimization
Three dimensional model
Joint photographic expert group
Coding
Contour
Smoothing
Least squares method
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Summary:Joint Photographic Experts Group (JPEG) baseline algorithm is widely used because of its high compression capability. The algorithm has a characteristic that the degradation of image quality tends to be perceived as the compression ratio becomes high. The eyesore degradations are false contour and mosquito. A method of improving the image quality is proposed. The first step: a domain of false contours is extracted from the image and the second step: the domain is smoothed by a fitting process. It is confirmed that this method is effective in improving the image quality degraded by the JPEG high compression.
ISSN:0096-3003
1873-5649
DOI:10.1016/S0096-3003(99)00247-7