A Coarse-to-Fine Framework for Learned Color Enhancement with Non-Local Attention
ICIP, pp. 949-953, 2019.
Automatic color enhancement are aimed to automaticly and adaptively adjust photos to expected styles and tones. For current learned methods in this field, global harmonious perception and local details are hard to be well-considered in a single model simultaneously. To address this problem, we propose a coarse-to-fine framework with non...More
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