Image contrast enhancement based on intensity-pair distribution

Tzu Cheng Jen*, Brian Hsieh, Sheng-Jyh Wang

*Corresponding author for this work

研究成果: Conference contribution同行評審

37 引文 斯高帕斯(Scopus)

摘要

Current contrast enhancement algorithms sometimes come with undesired drawbacks, like the loss of tiny details, enhancement of image noise, occasional over-enhancement, and unnatural look of the processed images. In this paper, we propose a new approach for contrast enhancement based on the use of a so-called intensity-pair distribution. This distribution possesses both local information and global information of the image content. By analyzing the content of intensity-pair distribution, a set of expansion forces are generated for contrast enhancement while another set of anti-expansion forces are generated to suppress image noise. To avoid overenhancement and preserve the natural look of the processed images, a magnitude mapping function is also proposed. Experimental results show that the proposed algorithm does provide a flexible and reliable way for contrast enhancement.

原文English
主出版物標題IEEE International Conference on Image Processing 2005, ICIP 2005
頁面913-916
頁數4
DOIs
出版狀態Published - 1 十二月 2005
事件IEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
持續時間: 11 九月 200514 九月 2005

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
1
ISSN(列印)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing 2005, ICIP 2005
國家Italy
城市Genova
期間11/09/0514/09/05

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