SALIENCY BASED OBJECT DETECTION AND ENHANCEMENTS IN STATIC IMAGES

Abstract

Whenever we see an image the visual system focuses on the prominent features present in an image. These prominent features are known as the salient features which we are obtaining by generating the saliency map. As done before we are also using the natural statistics that is measuring the saliency from data collection of natural images. We have used the ICA filters to generate the saliency map. Our proposed work is to improve the blur result given by the ICA filter by using different techniques. The results of our work are very clear. The prominent feature is improved by applying the techniques. The bottom up saliency plays a vital role for the basic saliency map but the difference majorly occurs, when we improve the saliency map by applying different filters and edge detection techniques thus resulting in object detection and improving the performance of our saliency map.