Study of edge-based lossy image compression algorithms

James M. Spring; Glen G. Langdon Jr.

doi:10.1117/12.217388

22 August 1995 Study of edge-based lossy image compression algorithms

James M. Spring, Glen G. Langdon Jr.

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217388
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

James M. Spring and Glen G. Langdon Jr. "Study of edge-based lossy image compression algorithms", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217388

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