期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：2
页码：903-906
语种：English
出版社：Ayushmaan Technologies
摘要：The intensity histogram gives information which can be used for contrast enhancement. Histogram Equalization is used in many image processing applications such as medical applications, space applications, biological sciences etc. The histogram equalization could be flat for levels less than the total number of levels. This could deteriorate the image. This problem can be overcome various techniques. This paper gives a comparative of the Bi-Histogram Equalization, Recursive Mean Seperated Histogram Equalization, Multipeak Histogram Equalization and Brightness Preserving Dynamic Histogram Equalization techniques by using these techniques to test few standard images. The method of bi-histogram uses independent histogram over two separate subimages. The method of recursive uses several subimages. Multipeak Histogram Equalization detects the peaks in the histogram and the subimages are formed based on the number detected. The Brightness Preserving Dynamic Histogram Equalization improves contrast while it maintains the brightness of the image. We shall compare the results through the metric parameters of absolute mean Brightness error and peak signal to noise ratio.
