Image Enhancement Using Nonlinear Techniques

Abstract

An image enhancement algorithm based on a neighborhood dependent nonlinear model is presented to improve visual quality of digital images. In our project, we are using various non linear digital enhancement techniques so as to remove noise in a digital image as well as to improve the visual quality of digital images as well as images that exhibits dark shadows due to limited dynamic range of imaging. We have used nonlinear image enhancement because nonlinear image enhancement tools are less susceptible to noise. Noise is always present due to the physical randomness of image acquisition systems. For example, underexposure and low-light conditions in analog photography conditions lead to images with film-grain noise which, together with the image signal itself, are captured during the digitization process. Nonlinear methods effectively preserve edges and details of images while methods using linear operators tend to blur and distort them.