Share Email Print
cover

Proceedings Paper

Study of edge-based lossy image compression algorithms
Author(s): James M. Spring; Glen G. Langdon Jr.
Format Member Price Non-Member Price
PDF $17.00 $21.00

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 Jr., 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