Paper Title
Image Enhancement Using Histogram Equalization of Saturation in HSV Color Space

Digital Image Processing is an emerging field finding applications in different domains of science and engineering. Image processing forms the basis for pattern recognition and machine learning technologies. Color Image Processing deals with color spaces and models for performing operations on an image of one type and transform it to another model for efficient analysis and feature manipulation. In this paper, a new image enhancement method is established for better visual perception and improving image quality. Histogram of an image is useful in determining the contents in the image and its distribution. Histogram equalization is the technique used to improve the dynamic range of an image and help in distribution of parameter wrights over the entire domain range rather than it getting concentrated over specific regions. This paper proposes an effective approach to enhance image quality by histogram equalization without compromising on mean brightness aspect of the image. Keywords - Histogram Equalization, saturation, HSV, RGB color space