The Optimal Compression Of Digital Images Using Graphic Signal Processors

David R. Ahlgren; Hasan Gadjali

doi:10.1117/12.952639

5 April 1989 The Optimal Compression Of Digital Images Using Graphic Signal Processors

David R. Ahlgren, Hasan Gadjali

Proceedings Volume 1075, Digital Image Processing Applications; (1989) https://doi.org/10.1117/12.952639
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

Abstract

The need for a compression system to significantly reduce the size of high resolution gray-scale and full-color image (picture) files, which can range from 100 Kbytes to over 3 Mbytes, stimulated an extensive research program that resulted in the development of new image compression systems. These new compression systems, based on well established and suitable compression schemes which run on Graphic Signal Processor (GSP), can reduce image file sizes by a factor of more that 8:1 with only minor detectable image degradation. Image compression of such kind is of interest because GSP is now an integral part of display control. The need for separate and expensive DSP for Discrete Cosine Transform computation is eliminated. This paper will discuss the importance of this compression scheme in the GSP world in terms of cost, speed and performance.

Citation Download Citation

David R. Ahlgren and Hasan Gadjali "The Optimal Compression Of Digital Images Using Graphic Signal Processors", Proc. SPIE 1075, Digital Image Processing Applications, (5 April 1989); https://doi.org/10.1117/12.952639

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available