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This would be a great application for deep learning. Use the authors' method to generate a lot of uncorrected-corrected pairs. Or, use a graphics engine to rend
by blt 7y ago
This would be a great application for deep learning. Use the authors' method to generate a lot of uncorrected-corrected pairs. Or, use a graphics engine to render realistic underwater scenes with and without water color. Then use a convolutional neural network to learn to mimic the transformation. Then any photographer can apply the learned filter without a color card or depth information.
Edit: already been done: https://arxiv.org/abs/1702.07392 https://arxiv.org/abs/1702.07392
- aspaceman 7y agoYou should take a look at the paper itself which is linked above. It does not require a color card in all cases, and the only information required is the depth, which can be obtained from a series of photos instead if required.