Generalized histogram equalization based on local characteristics

Tzu Cheng Jen*, Sheng-Jyh Wang

*此作品的通信作者

研究成果: Conference contribution同行評審

7 引文 斯高帕斯(Scopus)

摘要

Histogram Equalization (HE) and its variations have been widely used in image enhancement. Even though these approaches may enhance image contrast in an effective and efficient way, they usually face some undesired drawbacks, like loss of image details, noise amplification and overenhancement. In this paper, we propose a generalized histogram equalization technique based on localized image analysis. Starting from designing two measures f1 and f 2 to measure local characteristics around each pixel, the global statistics of these two local measures are then recorded into an extended histogram. Based on this extended histogram, we develop a procedure to generate suitable intensity transfer functions for various applications, like contrast enhancement and shadow enhancement. Experimental results show that the proposed algorithm provides a flexible and efficient way for image enhancement.

原文English
主出版物標題2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2877-2880
頁數4
ISBN(列印)1424404819, 9781424404810
DOIs
出版狀態Published - 1 十二月 2006
事件2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
持續時間: 8 十月 200611 十月 2006

出版系列

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

Conference

Conference2006 IEEE International Conference on Image Processing, ICIP 2006
國家/地區United States
城市Atlanta, GA
期間8/10/0611/10/06

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