Combined vector quantization and adaptive histogram equalization

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

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

1 Scopus citations

Abstract

Adaptive histogram equalization is a contrast enhancement technique in which each pixel is remapped to an intensity proportional to its rank among surrounding pixels in a selected neighborhood. We present work in which adaptive histogram equalization is performed on the codebook of a tree-structured vector quantizer so that encoding with the resulting codebook performs both compression and contrast enhancement. The algorithm was tested on magnetic resonance brain scans from different subjects and the resulting images were significantly contrast enhanced.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Pages213-218
Number of pages6
StatePublished - 1992
EventMedical Imaging VI: Image Capture, Formatting, and Display - Newport Beach, CA, USA
Duration: 23 Feb 199224 Feb 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1653
ISSN (Print)0277-786X

Conference

ConferenceMedical Imaging VI: Image Capture, Formatting, and Display
CityNewport Beach, CA, USA
Period23/02/9224/02/92

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