ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:WP-L3.1
Session:Image Enhancement and Artifact Reduction
Time:Wednesday, October 11, 14:20 - 14:40
Presentation: Lecture
Topic: Image & Video Restoration and Enhancement: Contrast enhancement
Title: A MULTIDIMENSIONAL HISTOGRAM EQUALIZATION BY FITTING AN ISOTROPIC GAUSSIAN MIXTURE TO A UNIFORM DISTRIBUTION
Authors: Taemin Kim; Korea Advanced Institute of Science and Technology 
 Hyun S. Yang; Korea Advanced Institute of Science and Technology 
Abstract: In this paper, a novel method to extend the grayscale histogram equalization (GHE) for color images in a multi-dimension is proposed. Unlike most current techniques, the proposed method can generate a uniform histogram, thus minimizing the disparity between the histogram and uniform distribution. A histogram of any dimension is regarded as a mixture of isotropic Gaussians. This method is a natural extension of the GHE to a multi-dimension. An efficient algorithm for the histogram equalization is provided. The results show that this approach is valid, and a psycho-visual study on a target distribution will improve the practical use of the proposed method.