Gray-scale image compression with wavelet transforms

Timothy S. Wilkinson; Martin M. Malarkey

doi:10.1117/12.179285

24 June 1994 Gray-scale image compression with wavelet transforms

Timothy S. Wilkinson, Martin M. Malarkey

Proceedings Volume 2239, Visual Information Processing III; (1994) https://doi.org/10.1117/12.179285
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

The wavelet transform has recently become popular as a tool for multiresolution image decomposition. Simultaneous localization of spatial and spectral information makes the wavelet transform an excellent candidate for the decorrelation stage of an image compression algorithm. This paper describes a simple but effective method of grayscale image compression that uses the wavelet transform. Nonuniform quantizers are applied to the detail subimages of the transform. Detail subimages are then grouped by decomposition level and entropy coded. The lowest resolution image, which results from the all low-pass path through the decomposition, is uniformly quantized and coded directly. Reductions in output bit rate to those of interest to the NITF low bitrate evaluation are achieved through simple scaling of the quantizers and inclusion of run-length coding.

Citation Download Citation

Timothy S. Wilkinson and Martin M. Malarkey "Gray-scale image compression with wavelet transforms", Proc. SPIE 2239, Visual Information Processing III, (24 June 1994); https://doi.org/10.1117/12.179285

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