Consolidated adversarial network for video de-raining and de-hazing

Wavelet-based Auto-Encoder for simultaneous haze and rain removal from images

A Ali, R Sarkar, SS Chaudhuri - Pattern Recognition, 2024 - Elsevier
Noise introduced due to weather can reduce the efficiency of computer vision applications
as the visibility of the objects in images is greatly affected. Haze and rain are the most …
被引用次数：7 相关文章 所有 2 个版本

Cross-stage recurrent feature sharing network for video dehazing

VM Galshetwar, P Saini, S Chaudhary - Expert Systems with Applications, 2024 - Elsevier
Hazy weather conditions feed serious haze effects, such as color and visibility degradations
in the captured videos. Extensive research on video dehazing has been carried out …
被引用次数：1 相关文章

Drfnet: dual stream recurrent feature sharing network for video dehazing

VM Galshetwar, P Saini, S Chaudhary - International Journal of Machine …, 2024 - Springer
The primary effects of haze on captured images/frames are visibility degradation and color
disturbance. Even though extensive research has been done on the tasks of video …
被引用次数：1 相关文章