• Sapna Goel
• Navneet Kaur
• Twinkle Jaswal
• Jasdeep Kaur

When processed the outdoor video in the presence of haze, noise, fog or smoke which degrades the quality of video through decreasing the contrast then many complications occurs. This paper use approaches neglected issues like noise reduction and improve contrast gain which will be presented in the output image of the previous existing haze removal algorithms. Firstly the video is break into frames, then proposed video dehazing algorithm is applied on individual frame. In this paper we proposed a new haze removal technique in which input hazy image noise reduction and edge smoothening is performed by guided filter and to remove haze, dark channel prior is integrate with contrast limited adaptive histogram equalization and adaptive gamma correction to remove the haze from color video.

Guided filter, CLAHE, Adaptive gamma correction, DCP.

"PERFORMANCE EVALUATION OF VIDEO DEHAZING BY USING IDCP WITH GUIDED FILTER AND CLAHE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.432-441, January-2019, Available :http://www.jetir.org/papers/JETIR1901A54.pdf

"PERFORMANCE EVALUATION OF VIDEO DEHAZING BY USING IDCP WITH GUIDED FILTER AND CLAHE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp432-441, January-2019, Available at : http://www.jetir.org/papers/JETIR1901A54.pdf