標題: Generalized histogram equalization based on local characteristics
作者: Jen, Tzu-Cheng
Wang, Sheng-Jyh
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: image enhancement
公開日期: 2006
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 over-enhancement. In this paper, we propose a generalized histogram equalization technique based on localized image analysis. Starting from designing two measures f(1) 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.
URI: http://hdl.handle.net/11536/17214
http://dx.doi.org/10.1109/ICIP.2006.313030
ISBN: 978-1-4244-0481-0
ISSN: 1522-4880
DOI: 10.1109/ICIP.2006.313030
期刊: 2006 IEEE International Conference on Image Processing, ICIP 2006, Proceedings
起始頁: 2877
結束頁: 2880
Appears in Collections:Conferences Paper