Authors : V. Magudeeswaran and C.G. Ravichandran
Abstract: Image enhancement improves an image appearance by increasing dominance of some features or by decreasing ambiguity between different regions of the image. Histogram based image enhancement technique is mainly based on equalizing the histogram of the image and increasing the dynamic range corresponding to the image. Histogram Equalization is one of the common methods used for improving contrast in digital images. As a result, such image creates side-effects such as washed out appearance and false contouring due to the significant change in brightness. In order to overcome these problems, mean brightness preserving HE based techniques have been proposed. Generally, these methods partition the histogram of the original image into sub-histograms and then independently equalize each subhistogram with histogram equalization. This study presents a review of recent histogram based techniques for still image contrast enhancement. Comparisons with the best available results are given in order to illustrate the best possible technique that can be used as powerful image enhancement.
V. Magudeeswaran and C.G. Ravichandran, 2014. Performance Analysis of Histogram Equalization Based Techniques for Image Contrast Enhancement. Asian Journal of Information Technology, 13: 287-290.