Gaussian Kernel-Based Multi-Histogram Equalization

Suk Tae SEO  In Keun LEE  Hye Cheun JEONG  Soon Hak KWON 

Publication
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
Keyword: 
multi-histogram equalization,  Gaussian kernel, 

Full Text: PDF(456.3KB)

Summary: 
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.