PROJECT TITLE :

A fast method of fog and haze removal - 2016

ABSTRACT:

Fog and haze degrade the standard of preview and captured image by reducing the contrast and saturation. Consequently the visibility of scene or object degrades. The objective of the present work is to enhance the visibility, saturation, contrast and scale back the noise in a foggy image. We propose a technique that uses single frame for enhancing foggy images using multilevel transmission map. The method is fast and free from noise or artifacts that typically arise in such enhancement techniques. A comparison with existing strategies shows that the proposed technique performs better in terms of both processing time and quality. The proposed technique works in real time for VGA resolution. The proposed work additionally presents a scheme to remove fog, rain and snow in real-time.


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Image Denoising Image Enhancement Real-Time Systems Temporal Filter Fog Removal Snow Removal Rain Removal Dark Channel Prior
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