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Proceedings Paper

Combined vector quantization and adaptive histogram equalization
Author(s): Pamela C. Cosman; Eve A. Riskin; Robert M. Gray
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Paper 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.

Paper Details

Date Published: 1 May 1992
PDF: 6 pages
Proc. SPIE 1653, Medical Imaging VI: Image Capture, Formatting, and Display, (1 May 1992); doi: 10.1117/12.59501
Show Author Affiliations
Pamela C. Cosman, Stanford Univ. (United States)
Eve A. Riskin, Univ. of Washington (United States)
Robert M. Gray, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 1653:
Medical Imaging VI: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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