An endoscopy image enhancement based on fast ranking method

Abstract

This paper presents a novel endoscopic image enhancement method by ranking a set of varying images which generated by the controlling factors using a single input image. We adopt the YUV color space for expanding a set of images due to the color space has components representing luminance, saturation, and hue. Therefore, rely on the edge energy of the cropped image area, and ranking of expanding images set from a single input image. The method only deal with the channels combination which chose the maximum scalar values of red, green and blue channel images, respectively. The experimental results show the proposed method is efficient for observing colon polyp.