Combining vector quantization and histogram equalization

Pamela C. Cosman, Eve A. Riskin, Robert M. Gray

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Histogram equalization is a contrast enhancement technique in which each pixel is remapped to an intensity proportional to its rank among surrounding pixels. Histogram equalization is a competitor of interactive intensity windowing, which is the established contrast enhancement technique for medical images. We present work in which histogram equalization is performed on the codebook of a tree-structured vector quantizer. Encoding with the resulting codebook performs both compression and contrast enhancement. It is also possible to perform intensity windowing on the codebook, or a combination of intensity windowing and histogram equalization, so that these need not be done as separate post-processing steps.

Original languageEnglish
Title of host publicationData Compression Conference 1991
Pages113-118
Number of pages6
ISBN (Electronic)0818692022
DOIs
StatePublished - 1991
Event1991 Data Compression Conference, DCC 1991 - Snowbird, United States
Duration: 8 Apr 199111 Apr 1991

Publication series

NameData Compression Conference Proceedings
Volume1991-April
ISSN (Print)1068-0314

Conference

Conference1991 Data Compression Conference, DCC 1991
Country/TerritoryUnited States
CitySnowbird
Period8/04/9111/04/91

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