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Gaussian Kernel-Based Multi-Histogram Equalization
Suk Tae SEO
In Keun LEE
Hye Cheun JEONG
Soon Hak KWON
IEICE TRANSACTIONS on Information and Systems Vol.E93-D No.5 pp.1313-1316
Publication Date: 2010/05/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
Full Text: PDF(456.3KB)
Histogram equalization is the most popular method for image enhancement. However it has some drawbacks: i) it causes undesirable artifacts and ii) it can degrade the visual quality. To overcome the drawbacks, in this letter, multi-histogram equalization on smoothed histogram using a Gaussian kernel is proposed. To demonstrate the effectiveness, the method is tested on several images and compared with conventional methods.