Published Paper Details:

Digital Images having a prominent role in applications of our daily life like magnetic resonance imaging, computer tomography, satellite television and in department of research and technology. This paper represents Single Image Visibility Restoration of Hazy Scenes using Bi-Orthogonal Wavelet Transformation technique. The outdoor images which are captured in poor weather like fog and haze are referred as hazy images and these images reduces the contrast. The visibility of digital images will be poor due to presence of different atmospheric substances which absorb and results in light scattering between captured object and digital camera. Image Dehazing techniques are categorized into three approaches and those are additional information approach, multiple images approach and single image approach. Here, Single Image Approach is preferred because of its low cost and flexibility. Image dehazing model is proposed with utilization of adaptive gamma correction technique, median filtering and dark channel prior technique. Dark channel prior method [5] is used to estimate scene depth in single image and to estimate one color channel with low intensity. This restoration technique uses difference in color values and enhanced transmission to achieve a scene with better quality and haze free. Simulation results will show good haze free images with better contrast under different weather conditions. The goal of restoration from hazy image is achieved by using a software tool MATLAB.