• Jatin Jangir
• Aakash Shinde
• Tanush Singh
• Vaibhav Pawar

Fog and haze degrade the quality of preview and captured image by reducing the contrast and saturation. As a result the visibility of scene or object degrades. The objective of the present work is to enhance the visibility, saturation, contrast and reduce the noise in a foggy image. This paper presents the fast and efficient method to remove the haze from a single image. It employs maximum filter to reduce the artifacts arising in the transmission estimation. The transmission map estimated by an improved guided filtering scheme is smooth and respect with depth information of the underlying image . Results demonstrate that the proposed method achieves good dehazing effect as well as real time performance. A comparison with existing method shows that the proposed method performs better in terms of both processing time and quality. The proposed algorithm , due to its speed and ability to improve visibility may be used with advantages and pre-processing in many systems like remote sensing , intelligent vehicles etc.

Image dehazing; dark channel prior (DCP); video processing

"ENHANCED OBJECT IMAGING IN HAZZY AND FOGGY AREAS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.675-677, May-2019, Available :http://www.jetir.org/papers/JETIR1905200.pdf

"ENHANCED OBJECT IMAGING IN HAZZY AND FOGGY AREAS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp675-677, May-2019, Available at : http://www.jetir.org/papers/JETIR1905200.pdf