Haze Removal and Color Compensation of Underwater Image with Denoising Algorithm
Keywords:
Color Change, Wavelength, Underwater ImageAbstract
Capturing images underwater is challenging due to haze caused by light reflected from the surface and scattered by water particles. Shading changes occur because light is weakened at different frequencies. This paper proposes a novel and precise approach to improve submerged images using a dehazing algorithm to compensate for attenuation errors along the propagation path and to account for the possible presence of an artificial light source. When the depth map, i.e., the distance between scene objects and the camera, is estimated, the foreground and background within the scene are segmented. The light intensities of the foreground and background are compared to determine whether an artificial light source is used during the image capture process. After compensating for the effect of artificial light, the haze phenomenon and wavelength-dependent attenuation along the underwater propagation path to the camera are corrected. Noise effects are also reduced using frequency filtering. The proposed haze removal and color compensation with denoising algorithm effectively restores image color balance and removes haze. Using this technique, the visibility and color quality of underwater images are significantly enhanced.
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