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 language | English |
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Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
Pages | 213-218 |
Number of pages | 6 |
State | Published - 1992 |
Event | Medical Imaging VI: Image Capture, Formatting, and Display - Newport Beach, CA, USA Duration: 23 Feb 1992 → 24 Feb 1992 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 1653 |
ISSN (Print) | 0277-786X |
Conference
Conference | Medical Imaging VI: Image Capture, Formatting, and Display |
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City | Newport Beach, CA, USA |
Period | 23/02/92 → 24/02/92 |