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Ocean Systems Engineering
  Volume 11, Number 4, December 2021 , pages 331-351

Restoration of underwater images using depth and transmission map estimation, with attenuation priors
Jarina Raihan A., P.G. Emeroylariffion Abas and Liyanage C. De Silva

    Underwater images are very much different from images taken on land, due to the presence of a higher disturbance ratio caused by the presence of water medium between the camera and the target object. These distortions and noises result in unclear details and reduced quality of the output image. An underwater image restoration method is proposed in this paper, which uses blurriness information, background light neutralization information, and red-light intensity to estimate depth. The transmission map is then estimated using the derived depth map, by considering separate attenuation coefficients for direct and backscattered signals. The estimated transmission map and estimated background light are then used to recover the scene radiance. Qualitative and quantitative analysis have been used to compare the performance of the proposed method against other state-of-the-art restoration methods. It has been shown that the proposed method can yield good quality restored underwater images. The proposed method has also been evaluated using different qualitative metrics, and results have shown that method is highly capable of restoring underwater images with different conditions. The results are significant and show the applicability of the proposed method for underwater image restoration work.
Key Words
    attenuation coefficients; depth estimation; image restoration; transmission map estimation; underwater images
Jarina Raihan A., P.G. Emeroylariffion Abas and Liyanage C. De Silva: Faculty of Integrated Technologies, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE 1410, Brunei Darussalam

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