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Proceedings Paper

Image enhancement for low-bit-rate JPEG and MPEG coding via postprocessing
Author(s): Yung-Kai Lai; Jin Li; C.-C. Jay Kuo
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Paper 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.

Paper Details

Date Published: 27 February 1996
PDF: 11 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233224
Show Author Affiliations
Yung-Kai Lai, Univ. of Southern California (United States)
Jin Li, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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