Share Email Print
cover

Proceedings Paper

Study of edge-based lossy image compression algorithms
Author(s): James M. Spring; Glen G. Langdon
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The visual pattern image coding (VPIC) technique appears to be a powerful competitor to VQ approaches for image coding since no codebook is needed. In VPIC, edge patterns within 4 by 4 blocks are detected and preserved. We report on the results of an alternative edge-preserving lossy compression algorithm that employs an edge-detection operator for identifying edge pixels for special treatment. A combination of the zero-tree approach of subband coding and the deterministic prediction approach of JBIG identified blocks without edge pixels. Predictive coding is heavily employed in compressing the block mean values. A smoothing algorithm is applied to the means of the 4 by 4 blocks that serves the dual purpose of predicting whether an edge pixel value is above or below the mean.

Paper Details

Date Published: 22 August 1995
PDF: 9 pages
Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217388
Show Author Affiliations
James M. Spring, Univ. of California/Santa Cruz (United States)
Glen G. Langdon, Univ. of California/Santa Cruz (United States)


Published in SPIE Proceedings Vol. 2564:
Applications of Digital Image Processing XVIII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top