Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Network.

IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1884-1897, 2020.

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摘要

Defocus blur detection (DBD) is aimed to estimate the probability of each pixel being in-focus or out-of-focus. This process has been paid considerable attention due to its remarkable potential applications. Accurate differentiation of homogeneous regions and detection of low-contrast focal regions, as well as suppression of background cl...更多

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