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Proceedings Paper

Block implementation of arithmetic coding for image compression
Author(s): Jun Wei; Marco Ma; Pongskorn Saipetch; Keh-Shih Chuang; Bruce Kuo Ting Ho
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Paper Abstract

The full frame discrete cosine transform (FFDCT) compression method has the capability to eliminate block artifacts that exist in JPEG and MPEG compressed images. Previous FFDCT algorithm used an adaptive bit allocation (BA) method to pack quantized DCT coefficients. In this work, we replaced BA with arithmetic coding (AC) to improve compression performance markedly. We also show that by partitioning the quantized cosine domain much higher arithmetic coding efficiency can be achieved, especially in highly quantized images.

Paper Details

Date Published: 1 May 1994
PDF: 7 pages
Proc. SPIE 2164, Medical Imaging 1994: Image Capture, Formatting, and Display, (1 May 1994); doi: 10.1117/12.174024
Show Author Affiliations
Jun Wei, Univ. of California/Los Angeles (United States)
Marco Ma, Univ. of California/Los Angeles (United States)
Pongskorn Saipetch, Univ. of California/Los Angeles (United States)
Keh-Shih Chuang, National Tsing Hua Univ. (Taiwan)
Bruce Kuo Ting Ho, Univ. of California/Los Angeles (United States)


Published in SPIE Proceedings Vol. 2164:
Medical Imaging 1994: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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