Haze Removal and Color Compensation of Underwater Images Enhancement Using Denoising Algorithm
Keywords:
Color Change, Wave Length, Under Water ImageAbstract
Capturing image in underwater is challenging due to haze caused by light that is reflected from surface and is deflected and scattered by water particles. Shading changes because of light weakened for various frequency. This paper proposes a novel precise way to deal with improve submerged pictures by a dehazing calculation, to repay the lessening error along the proliferation way, and to take the impact of the conceivable presence of a counterfeit light source into thought. When the profundity map, i.e., distances between the articles and the camera, is assessed, the forefront and foundation inside a scene are sectioned. The light powers of closer view and foundation are contrasted with decide if a counterfeit light source is utilized during the picture catching interaction. After compensating the effect of artificial light, the haze phenomenon and discrepancy in wavelength attenuation along the underwater propagation path to camera are corrected. Effect of noise is also reduced by using the frequency filter. The Haze Removal and Color Compensation with Denoising algorithm proposed in this dissertation can effectively restore image color balance and remove haze. Using this technique the visibility and color of the image can be enhanced.
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