Novel Fog-Removing Method For The Traffic Monitoring Image
Safoora Nousheen, Sumit Kumar · IJITR International Journal of Innovative Technology and Research - IJITR International Journal of Innovative Technology and Research · 2016
In this paper, we proposed a novel fog-removing method in order to make the images becoming more clear and more easy to recognition. In human lives images have an important role. To analyze traffic, satellite images are used, in developed cities traffic analysis is done through CCTV cameras. Images captured under bad weather conditions suffer low contrast so their quality degrades with the changes in atmosphere The main reason behind the image degradation is atmospheric scattering, which is light received from scene points while capturing an image, is absorbed and scattered by a complex medium which includes fog, mist and haze. The proposed method combines the Retinex algorithm and wavelet transform algorithm. The proposed method firstly use Retinex algorithm to enhance the image, then the wavelet transform is used to enhance the details of the image. We determine PSNR(Peak signal –to-noise Ratio),of images which are processed by our proposed method have the PSNR values higher than the traditional Retinex algorithm's.