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Technical Program
Paper Detail
| Paper: | WP-L3.1 |
| Session: | Image Enhancement and Artifact Reduction |
| Time: | Wednesday, October 11, 14:20 - 14:40 |
| Presentation: |
Lecture
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| 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. |
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