Context-dependent distribution shaping and parameterization for lossless image compression

Glen G. Langdon Jr.; Chris A. Haidinyak

doi:10.1117/12.186574

21 September 1994 Context-dependent distribution shaping and parameterization for lossless image compression

Glen G. Langdon Jr., Chris A. Haidinyak

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186574
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

An algorithm class called CaTH (centering and tail handling) is described that is based on predictive coding followed by adaptive binary arithmetic coding. CaTH treats the prediction errors close to zero (i.e., near the center of the error distribution) in a more precise manner than the errors of the `tails' (i.e., errors far from zero). The context model uses error buckets (quantized ranges) of prediction errors. The probability model for the prediction errors uses a histogram for the center. A variety of ways to binarize the tails are studied. The results on the suite of JPEG test images are very encouraging.

Citation Download Citation

Glen G. Langdon Jr. and Chris A. Haidinyak "Context-dependent distribution shaping and parameterization for lossless image compression", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186574

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