A Review of various Global Contrast Enhancement Techniques for still Images using Histogram Modification Framework

This paper presents the evaluation and comparison of some popular image contrast enhancement algorithms using Histogram modification framework. Histogram based techniques is one of the important digital image processing techniques which can be used for image enhancement. Histogram based techniques is mainly based on equalizing the histogram of the image and increasing the dynamic range corresponding to the image. Histogram equalization is widely used in different ways to perform contrast enhancement in images. As a result, such image creates side-effects such as washed out appearance and false contouring due to the significant change in brightness. To overcome this weakness, we proposed a new method based on Histogram modification framework that works well with still images, and it enhances the images without making any loss in image details.