Defocus map estimation from a single image
By Shaojie Zhuo, Terence Sim. Pattern Recognition, 2011
424 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/93cc7cff916903be2120435c79f77319c835562d
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In Atomic and Molecular Physics, and Optics
In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- Salient Region Detection by UFO: Uniqueness, Focusness and Objectness (2013, methodology): “A thin lens model for image blur (revised from [41]).”
- Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network (2017, background): “There are other works that can produce a sharpness map, such as in depth map estimation [77], or blur segmentation [60], but the depth map is not necessarily corresponding to the amount of sharpness and they tend to highlight blurred edges or insensitive to the change of small amount of blur.”