Restoration And Enhancement Algorithm Fog Single Image

Haze are such phenomena which aroused by atmospheric absorption of scattered because ofparticles and water-droplets in the atmosphere. In haze day, the images obtained by the opticalequipment have decreased contrast because of the atmospheric visibility decreased, as well as imagesdegradation and blur, thus affecting the image information extraction. This not only greatly limit andinlfuences the normal operate of outdoor vision sysetms (such as outdoor monitoring, automaticnavigation’, target tracking, etc.), but also seirously affect peoples daily lives. So studying on imagequality decreased cause by the natural phenomenon has pracitcal signiifcance.Recently, image foggy removals have two major techniques: one is image enhancement, whichneeds only consider the characteristics of the low brightness and low contrast, does not consider thereasons of image degradation. We can call it the image enhancement. The other technique is creaitng amode from the perspective of the speciifc and physical causes of the images degradation, and thenresume the scene used the model. In other words, it models the degradation process. This method isusually referred to image restoration.Based on Multi-Scale Retinex (MSR) algorithm, a new method combined with atmosphericphysics model was proposed in this paper. The expeirmental results demonstrate the satisyfing visualeffects of this approach.