• Vinita Jat
• Prof. Madhvi Singh
• Dr. Shivangini Morya
• Dr. Sudhir Agrawal

Any outdoor photograph taken in hazy or foggy circumstances will have a markedly reduced visual quality. Furthermore, it alters the hue and brightness of the picture. Video surveillance, transportation, and remote sensing are just a few of the many computer vision uses for these pictures. In order for these apps to function flawlessly, it is crucial that the haze effect be removed from these photos. As it is, current image dehazing techniques do a decent job at making the blurry picture more legible. Nevertheless, these techniques cause a lot of artefacts, such as a halo around depth discontinuities, blocking, and color aliasing in the sky. While some solutions exist, they often come with unwanted side effects, such as blurring or an increase in saturation in the now-dehazed image. This paper aims to tackle a variety of dehazing problems, such as maintaining color in close-up views while boosting long-range sight, minimizing distortions and artefacts, and clearing away thick haze without artificially boosting distant views.

Haze Removal, Image Enhancement, Bilateral Filter, Median Filter, Fog Removal

"Implementation amd Analysis of Different Image Fog Removal Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.c397-c400, July-2023, Available :http://www.jetir.org/papers/JETIR2307247.pdf

"Implementation amd Analysis of Different Image Fog Removal Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppc397-c400, July-2023, Available at : http://www.jetir.org/papers/JETIR2307247.pdf