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 ...

Eukaryotic messenger RNAs are synthesized by the multisubunit enzyme RNA polymerase II, aided by myriad cofactors that control different events in this multistep process. A complete round of transcription involves: the recruitment of polymerase and general transcription factors to the promoter, RNA chain initiation and polymerase escape from the promoter, RNA chain elongation, and finally termi...

We present a series of results acquired at a 2-kilometer distance using our lidar system under several weather conditions, clear, cloudy, light rain, moderately foggy, and night. The experimental results show that ghost imaging lidar via spar-sity constraints can realize imaging in all these weather conditions.

Recently, we have discussed the use of GIMP Retinex, a filter of the GNU Image Manipulation Program, for enhancing images in several applications, ranging from those obtained by microscopes to the images coming from satellites. Retinex can also enhance foggy images: here we investigate the role of GIMP filter in their thresholding for binarization.

Low visibility on expressways caused by heavy fog and haze is a main reason for traffic accidents. Real-time estimation of atmospheric visibility is an effective way to reduce traffic accident rates. With the development of computer technology, estimating atmospheric visibility via computer vision becomes a research focus. However, the estimation accuracy should be enhanced since fog and haze a...

This paper presents FogAdapt, a novel approach for domain adaptation of semantic segmentation dense foggy scenes. Although significant research has been directed to reduce the shift in segmentation, scenes with adverse weather conditions remains an open question. Large variations visibility scene due conditions, such as fog, smog, and haze, exacerbate shift, thus making unsupervised scenarios c...