Multiscale Image Enhancement Based on Natural Visual System

Abstract

Image enhancement is to modify images in such a way that the visual content contained in the image is improved for human perception. Producing digital images with good contrast and detail is a requirement for nearly all vision and image processing. Image enhancement has been practical for many applications in consumer, autonomous navigation, remote sensing, biomedical image analysis, and other image processing fields. Enhancement algorithm can be classified into direct and indirect enhancement procedures. Indirect enhancement algorithms enhance images without measuring the image contrast at different scales. Direct improvement measures the image distinction supported Human visual system. In this paper corn sweet effect and illumination correction method is used. By using illumination correction method intensity value increases, by using corn sweet effect the edges get sharpen and hence the overall contrast increases.