Image Data Compression In A Personal Computer Environment

Paul M. Farrelle; Daniel G. Harrington; Anil K Jain

doi:10.1117/12.948457

16 December 1988 Image Data Compression In A Personal Computer Environment

Paul M. Farrelle, Daniel G. Harrington, Anil K Jain

Proceedings Volume 0974, Applications of Digital Image Processing XI; (1988) https://doi.org/10.1117/12.948457
Event: 32nd Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1988, San Diego, CA, United States

Abstract

This paper describes an image compression engine that is valuable for compressing virtually all types of images that occur in a personal computer environment. This allows efficient handling of still frame video images (monochrome or color) as well as documents and graphics (black-and-white or color) for archival and transmission applications. Through software control different image sizes, bit depths, and choices between lossless compression, high speed compression and controlled error compression are allowed. Having integrated a diverse set of compression algorithms on a single board, the device is suitable for a multitude of picture archival and communication (PAC) applications including medical imaging, electronic publishing, prepress imaging, document processing, law enforcement and forensic imaging.

Citation Download Citation

Paul M. Farrelle, Daniel G. Harrington, and Anil K Jain "Image Data Compression In A Personal Computer Environment", Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); https://doi.org/10.1117/12.948457

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