Noise Reduction and dehazing of Visual Data
Md Khadimul Islam Zim, Manik Rakhra, Dalwinder Singh, Arun Pratap Singh · 2022
The problem of haziness is a poorly presented problem that has been broadly contemplated in recent years. Images of dim scenes normally experience low contrast which corrupts the perceivability of the scene. Because of light scattering and absorption by climatic particles, pictures/recordings acquired from video surveillance, traffic checking, galactic imaging, clinical imaging, and remote detecting have poor perceivability. Noise and haze both degraded the overall quality of an image. So, the objective of this paper is to give a review with respect to these issues by reviewing over eleven techniques of image dehazing on different datasets. Through this paper, a thorough study and analysis of unsupervised as well as supervised techniques have been presented.