In this paper we have proposed two co mparative approaches for the contrast enhancement of dark sports images. The contrast of any image is a very important characteristic wh ich decides the quality of image. Lo w contrast images occur often due to poor or non uniform lighting conditions and sometimes due to the non linearity or small dynamic range of the imaging system. Enhancing the contrast of sports images is of importance since it is difficult to analyze the performance of the team or player with a poor quality image. Though several methods are proposed for gray scale images, enhancing the contrast of color images is a comp licated process. In this paper we have proposed two comparative approaches for the contrast enhancement of color images and have compared their perfo rmance against the standard histogram equalization method. First method is contrast enhancement of color images using fuzzy rule based method and the second method is using modified sigmo id function. Color images cannot be processed directly hence a suitable color model is chosen for processing and the proposed methods are imp lemented. Fo r both the approaches the color images are split into RGB p lanes and the proposed operation is performed on each plane and finally the planes are concatenated to obtain the enhanced image. Performance of the proposed methods is measured using a factor known as Measure of Contrast and the comparison is represented graphically. Experimental results prove that of the two methods proposed, contrast enhancement using modified sigmoid function provides the highest measure of contrast and can be effectively used for further analysis of sports color images.
Current video and image systems are typically of limited use in poor visibility conditions such as in poor illumination, rain, fog, smoke, and haze. These conditions severely limit the range and effectiveness of imaging systems because of the severe reduction in contrast. The contrast of any image is a very important characteristic which decides the quality of image. Our chief goal in this paper is to develop a contrast enhancement technique to recover a sports image shot with poor illumination to improve its quality. In our method contrast enhancement is done based on a modified sigmoid mapping function. Several methods are proposed for gray scale images wherein while dealing with color images the procedure becomes complicated. In this method processing is done on RGB color planes and the results are found to be satisfactory. We provide simulation results of our technique applied to real images, which are hard to be contrasted by other conventional techniques.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.