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Recently, data-driven approaches are prevailing in low-level image processing including single image dehazing. The performance of these methods can behave better when the learning process adapts to the input. This input-adaptive training demands efficiently selecting optimal examples for the input from a large training set. In this paper, we address the issue of input-specific example searching and...
Nowadays learning based approaches have been widely used in image processing and have achieved better results than classical methods. The core of the learning approach is data and the performance of the learning model can be greatly improved by the modality-specific training examples. However, few learning based methods study training example searching to optimize the data driven model. In our paper,...
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