Wavelet based adaptive vector quantization for encoding large color images

Shu Yu Yang, Sunanda Mitra

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Generation of multiresolution codebooks for encoding and decoding large (2k×1k) color images is a challenging task due to long search processes involved, in general. We have used an adaptive clustering technique for generating multiresolution codebooks by vector quantization of wavelet transformed subimages up to four levels of decomposition in an efficient manner. Using a combination of clustering up to 4th level and selective retention of subimages at the 1st and 2nd levels, images of varying qualities can be reconstructed from a multiresolution codebook. The histograms of the reconstructed images demonstrate little or no changes from the histogram of the original even up to a compression ratio of 132:1. The peak signal to noise ratio as well as the mean square error are also better than those from other benchmark compression techniques.

Original languageEnglish
Pages (from-to)208-213
Number of pages6
JournalProceedings of the IEEE Symposium on Computer-Based Medical Systems
StatePublished - 1998
EventProceedings of the 1998 11th IEEE Symposium on Computer-Based Medical Systems - Lubbock, TX, USA
Duration: Jun 12 1998Jun 14 1998

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