An Efficient Transformation Technique for Contrast Improvement

This paper demonstrates an efficient technique for contrast improvement. To do so two main functions are used first is cumulative distributive function and the other is gamma correction. As we know improvement of contrast of an image plays an important role digital image processing (medical diagnostic, pattern recognition). In Respect to an image HSV is Hue (H), Saturation (S) and luminance (V), the given image can be enhanced by preserving hue and saturation, while by modifying luminance. Above both functions are applied on luminance value to get the enhanced image. Technique also can be applied to a video to enhance it frame by frame. For comparison and to show the efficiency details of proposed technique we compare proposed technique with adaptive histogram equalization method (AHE).