A Multimodal Enhancement Techniques Using For Visual Improvement Of Dense Foggy & Hazy Weather Images,

Abstract

Dense Foggy images in traffic is a special class of degraded images, and the enhancement or restoration of these image is very important for traffic safe. Image Enhancement is one of the most important and difficult techniques in image research. The aim of image enhancement is to improve the visual appearance of an image. Bad weather such as fog and haze reduce the visibility and color fidelity,[3,4] and the particles in atmosphere cause absorption and scattering, fog and haze removal is critical for a wide range of image-related applications, such as surveillance systems, intelligent vehicles, satellite imaging, and outdoor object recognition systems. It is necessary to enhance the contrast and remove the noise to increase image quality

A Contrast image enhancement technique is proposed for the images degraded by fog. This paper introduces a Multimodal enhancement techniques (more than three techniques) applied A Contrast image enhancement,   color modification and Gama correction method to enhance foggy images. The proposed algorithm changes the intensity component among the converted HIS components from the RGB components of the original foggy image. Again by converting back to RGB components, the foggy image tends to appear more clearly than the original image in terms of Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE).[2] Finally the enhanced foggy image is obtained and the results are presented.[9] The output image has high efficiency and reduces computational complications for many applications.