Combined vector quantization and adaptive histogram equalization

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

doi:10.1117/12.59501

1 May 1992 Combined vector quantization and adaptive histogram equalization

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

Proceedings Volume 1653, Medical Imaging VI: Image Capture, Formatting, and Display; (1992) https://doi.org/10.1117/12.59501
Event: Medical Imaging VI, 1992, Newport Beach, CA, United States

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.

Citation Download Citation

Pamela C. Cosman, Eve A. Riskin, and Robert M. Gray "Combined vector quantization and adaptive histogram equalization", Proc. SPIE 1653, Medical Imaging VI: Image Capture, Formatting, and Display, (1 May 1992); https://doi.org/10.1117/12.59501

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