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Proceedings Paper

Enhancement of decompressed images at low bit rates
Author(s): Ramesh A. Gopinath; Markus Lang; Haitao Guo; Jan Erik Odegard
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Paper Abstract

Transform coding at low bit rates introduces artifacts associated with the basis functions of the transform. For example, decompressed images based on the DCT (discrete cosine transform)-- like JPEG--exhibit blocking artifacts at low bit rates. This paper proposes a post-processing scheme to enhance decompressed images that is potentially applicable in several situations. In particular, the method works remarkably well in `deblocking' of DCT compressed images. The method is non-linear, computationally efficient, and spatially adaptive--and has the distinct feature that it removes artifacts while yet retaining sharp features in the images. An important implication of this result is that images coded using the JPEG standard can be efficiently post-processed to give significantly improved visual quality in the images.

Paper Details

Date Published: 11 October 1994
PDF: 12 pages
Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); doi: 10.1117/12.188786
Show Author Affiliations
Ramesh A. Gopinath, IBM Thomas J. Watson Research Ctr. (United States)
Markus Lang, Rice Univ. (United States)
Haitao Guo, Rice Univ. (United States)
Jan Erik Odegard, Rice Univ. (United States)


Published in SPIE Proceedings Vol. 2303:
Wavelet Applications in Signal and Image Processing II
Andrew F. Laine; Michael A. Unser, Editor(s)

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