computer-vision-8
Color Constancy
3260 papers • 126 benchmarks • 313 datasets
Color Constancy is the ability of the human vision system to perceive the colors of the objects in the scene largely invariant to the color of the light source. The task of computational Color Constancy is to estimate the scene illumination and then perform the chromatic adaptation in order to remove the influence of the illumination color on the colors of the objects in the scene. Source: CroP: Color Constancy Benchmark Dataset Generator
(Image credit: Papersgraph)
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Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Chen Change Loy, Runmin Cong, Chongyi Li, S. Kwong, Chunle Guo, Junhui Hou, Jichang Guo•Sat Jan 18 2020
A novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network and shows that it generalizes well to diverse lighting conditions.
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