Paper
13 March 1996 Predictive codebook design for lossless image compression
Giridhar D. Mandyam, Nasir Ahmed, Samuel D. Stearns, Neeraj Magotra, Nasir U. Ahmed
Author Affiliations +
Proceedings Volume 2669, Still-Image Compression II; (1996) https://doi.org/10.1117/12.234755
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
This paper describes a new method for lossless image compression where relative pixel values of localized neighborhoods in test images are stored in a codebook. In order to achieve decorrelation of an image's pixels, each neighborhood of a pixel is assigned to a neighborhood in the codebook, and the difference between the actual pixel value and the predicted value from the codebook is coded using an entropy coder. Using the same codebook, one can achieve perfect reconstruction of the image. The method is tested on several standard images and compared with previously published methods. These experiments demonstrate that the new method is an attractive alternative to existing lossless image compression techniques.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giridhar D. Mandyam, Nasir Ahmed, Samuel D. Stearns, Neeraj Magotra, and Nasir U. Ahmed "Predictive codebook design for lossless image compression", Proc. SPIE 2669, Still-Image Compression II, (13 March 1996); https://doi.org/10.1117/12.234755
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image compression

Cameras

Neon

Biomedical optics

Image quality standards

Quantization

Computer engineering

RELATED CONTENT


Back to Top