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Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration. (arXiv:2106.07910v3 [eess.IV] UPDATED)
Jan. 20, 2022, 2:10 a.m. | Prasen Kumar Sharma, Ira Bisht, Arijit Sur
cs.CV updates on arXiv.org arxiv.org
Background: Underwater images, in general, suffer from low contrast and high
color distortions due to the non-uniform attenuation of the light as it
propagates through the water. In addition, the degree of attenuation varies
with the wavelength resulting in the asymmetric traversing of colors. Despite
the prolific works for underwater image restoration (UIR) using deep learning,
the above asymmetricity has not been addressed in the respective network
engineering.
Contributions: As the first novelty, this paper shows that attributing the
right …
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