Title
Cascade Coding For Sub-Bit Image Compression
Abstract
'Cascade coding,' a technique of double coding an image is introduced in this paper. Blocks of the image are first transform-coded and the retained coefficients of the transform are then quantized by a Block Truncation Coding (BTC) algorithm for transmission or storage. Upon reception or recall, the quantized transform coefficients are used in the inverse transform to reconstruct the image. The new method combines the spatial correlation characteristics of the transform methods with the ease of implementation of the BTC. Illustrations presented here on sub-bit image coding, shows it to perform consistently better than straight Cosine Transform (DCT) coding.
Publication Date
12-1-1990
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
1244
Number of Pages
14-25
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0025628587 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0025628587
STARS Citation
Tzannes, Marcos C.; Tzannes, Alexis P.; and Tzannes, N. S., "Cascade Coding For Sub-Bit Image Compression" (1990). Scopus Export 1990s. 1451.
https://stars.library.ucf.edu/scopus1990/1451