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Proceedings Paper

Implementation of a real-time software-only image smoothing filter for a block-transform video codec
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Paper Abstract

The JPEG compression standard is a popular image format. However, at high compression ratios JPEG compression, which uses block-transform coding, can produce blocking artifacts, or artificially introduced edges within the image. Several post-processing algorithms have been developed to remove these artifacts. This paper describes an implementation of a post-processing algorithm developed by Ramchandran, Chou, and Crouse (RCC) which is fast enough for real-time software-only video applications. The original implementation of the RCC algorithm involved calculating thresholds to identify artificial edges. These calculations proved too expensive for use in real-time software-only applications. We replaced these calculations with a linear scale approximating ideal threshold values based on a combination of peak signal-to-noise ratio calculations and subjective visual quality. The resulting filter implementation is available in the widely-deployed Open Mash streaming media toolkit.

Paper Details

Date Published: 7 May 2003
PDF: 7 pages
Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); doi: 10.1117/12.476438
Show Author Affiliations
Wesley F. Miaw, Univ. of California/Berkeley (United States)
Lawrence A. Rowe, Univ. of California/Berkeley (United States)


Published in SPIE Proceedings Vol. 5022:
Image and Video Communications and Processing 2003
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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