Gray-Scale Image Enhancement using the SMQT

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Mikael Nilsson, Mattias Dahl, Ingvar Claesson
Title: Gray-Scale Image Enhancement using the SMQT
Conference name: IEEE International Conference on Image Processing (ICIP)
Year: 2005
Pagination: 933-936
City: Genoa
ISI number: 000235773300149
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling)
School of Engineering S- 372 25 Ronneby
+46 455 38 50 00
http://www.tek.bth.se/
Authors e-mail: mikael.nilsson@bth.se
Language: English
Abstract: This paper explores the Successive Mean Quantization Transform (SMQT) for automatic enhancement of gray-scale images. The transform is in the paper presented using set theory. The image enhancement capabilities and properties of the transform are analyzed. The transform is capable to perform both a nonlinear and a shape preserving stretch of the image histogram. Experiments and comparisons to histogram equalization are conducted.
Subject: Signal Processing\General
Signal Processing\Detection and Classification
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