Automatic Elimination of Noises and Enhancement of Medical Eye Images through Image Processing Techniques for better glaucoma diagnosis

an image is made up off picture elements in the form of an array and arranged in columns and rows. These picture elements are called pixels. Most of the time images contain degradation due to noises, resulting in reduction of contrast and colour fading. For many reasons it is required to remove these kind of effects. Now day’s most of the applications require useful information present in the images for explanation and examination. Image enhancement is a one technique, which is used to apply different alterations to an image. So that the result obtained from the image enhancement technique is much better than the original image for a specific purpose. Many images like medical images and images of satellites suffer from poor sharpness and noisy effects. This is important to increase the contrast of an image and also important to remove different noises present in the image to increase picture standard in order to get required features in the later stages. This paper presents a new work for image noise removal and enhancement in fundus and optical coherence tomography eye images by using image processing techniques for better glaucoma disease detection.