Paper
27 February 1996 Image enhancement for low-bit-rate JPEG and MPEG coding via postprocessing
Yung-Kai Lai, Jin Li, C.-C. Jay Kuo
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233224
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
Abstract
JPEG and MPEG compression standards are based on block discrete cosine transform (BDCT) and, when the bit rate becomes low, visually annoying blocking artifacts appear in decompressed images and videos. In this work, we attempt to characterize and quantify the blocking artifact, and then propose an iterative method for its removal by using block classification and space-frequency filtering. The proposed new method is better than the POCS (projection onto convex sets) method in terms of convergence rate, visual appearance and objective mean square error measure.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yung-Kai Lai, Jin Li, and C.-C. Jay Kuo "Image enhancement for low-bit-rate JPEG and MPEG coding via postprocessing", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233224
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CITATIONS
Cited by 14 scholarly publications.
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KEYWORDS
Visualization

Image compression

Quantization

Image filtering

Image restoration

Spatial filters

Video

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