An Effective Image Enhancement Method using Binary Morphology

Image Enhancement is one of the most significant and challenging techniques in image research. The goal of image enhancement is to increase the visual appearance of an image, or to deliver an “enhanced transform representation for forthcoming automated image processing. Many images like medical images, satellite images, aerial images and even real life photos suffer from poor contrast and noise. It is necessary to enhance the contrast and remove the noise to increase image quality. One of the most significant stages in medical images detection and analysis is Image Enhancement techniques which increases the quality of images for human viewing, eliminating blurring and noise, increasing contrast, and revealing details are examples of enhancement operations. The present paper gives the detail of various noise effects on the images and also discourses the approaches to remove the noise by using Gaussian filter and to improve the image quality using bilateral filtering method. The Experimental outcomes achieved on a set of standard test images for a wide range of noise corruption levels.