Title :
Image contrast enhancement based on histogram similarity
Author :
Lei Zeng ; Jian Chen ; Li Tong ; Bin Yan ; Xijian Ping
Author_Institution :
Nat. Digital Switching Syst. Eng. & Technol. R&D Center, Zhengzhou, China
Abstract :
Many images suffer from poor contrast. It is necessary to enhance the contrast of images. Image enhancement improves an image appearance by increasing dominance of some features or by decreasing ambiguity between different regions of the image. Histogram equalization (HE) is widely used for contrast enhancement in a variety of applications due to its simple function and effectiveness. However, it usually results in excessive contrast enhancement, which causes the unnatural look and visual artifacts of the processed image. The improved algorithms, such as Brightness preserving Bi-Histogram Equalization, Recursive Mean-Separate Histogram Equalization, Dual Sub-Image Histogram Equalization and so on, are devoted to preserving the input image brightness and will be disappointed when the input image has low luminance. A novel method based on histogram similarity is developed to overcome the drawbacks of the classic HE algorithms for gray scale images. Compared to some of the conventional HE methods, the proposed method produces better contrast and image quality.
Keywords :
brightness; image enhancement; medical image processing; dual subimage histogram equalization; histogram similarity; image appearance; image brightness; image contrast enhancement; image processing; image quality; recursive mean-separate histogram equalization; visual artifacts; Brightness; Consumer electronics; Histograms; Image enhancement; Probability density function; Quality assessment; Transforms; BBHE; Contrst enhancement; DSIHE; Histogram equalization; Similarity;
Conference_Titel :
Medical Imaging Physics and Engineering (ICMIPE), 2013 IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4799-6305-8
DOI :
10.1109/ICMIPE.2013.6864549