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Fahim Farook

"Practical Exposure Correction: Great Truths Are Always Simple. (arXiv:2212.14245v1 [cs.CV])" — A method that rethinks exposure correction to provide a linear solution with exposure-sensitive compensation.

Paper: arxiv.org/abs/2212.14245

<<Find this useful? Please boost so that others can benefit too 🙂>>

Practicability evaluation. In (a), we compare nine advanced deep networks and nine traditional methods (please refer to the experimental part for detailed sources) by using different computational resources. In (b), we demonstrate a group of visual comparisons among two deep networks and PEC on the same scene but with different exposure conditions (the left top and right bottom are overexposure and underexposure, respectively). In (c), we show visual comparisons among two traditional methods and PEC on different scenes with different degrees of underexposure. Obviously, our PEC realizes the best visual effects and spends least running time simultaneously, which fully indicates the practicability of PEC.
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Rich Tong ❤️🎓

@f is the best client @rt @alext@sigmoid.social

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