Share Email Print

Proceedings Paper

Implementing International Standards On Still-Frame Image Compression Systems
Author(s): Shrikant Acharya; David Ahlgren
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper presents the results of the research that was conducted by Telephoto Communications into the effects of implementing the proposed ISO International Still-Frame Image Compression Standards. The objective of the research being to provide a commercial product which will comply with these standards. After providing a brief system description of the ALICE Type-120 and the "ISO compatible" product, the paper then reviews the modifications to the ALICE Type-120 algorithm to make it compatible with the proposed ISO standards and the performance impacts of these modifications. The primary elements of the ISO compatible system include: 1) Fast Discrete Cosine Transform (FDCT) 2) Differential Pulse Code Modulation (DPCM) of DC coefficients 3) Visual Quantization 4) Huffman encoding DPCM is a previous pel (pixel) predictor algorithm for coding DC coefficients. Visual quantization is a non-uniform quantization matrix based on the spectral position of each AC coefficient and takes advantage of the reduced sensitivity to high frequencies of the human visual system. Modifications to the ALICE Type-120 included the addition of the visual quantization and DPCM of the DC. The addition of these elements resulted in significantly improved compression ratios while maintaining a subjectively constant image quality. The research was conducted with the standard test images used in ISO evaluations and with special images used in the development of the ALICE Type-120 Image Compression System.

Paper Details

Date Published: 5 April 1989
PDF: 7 pages
Proc. SPIE 1075, Digital Image Processing Applications, (5 April 1989); doi: 10.1117/12.952640
Show Author Affiliations
Shrikant Acharya, Telephoto Communications Inc. (United States)
David Ahlgren, Telephoto Communications Inc. (United States)

Published in SPIE Proceedings Vol. 1075:
Digital Image Processing Applications
Ying-Wei Lin; Ram Srinivasan, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?