Learning to Deblur.
IEEE Transactions on Pattern Analysis and Machine Intelligence(2016)
摘要
We describe a learning-based approach to blind image deconvolution. It uses a deep layered architecture, parts of which are borrowed from recent work on neural network learning, and parts of which incorporate computations that are specific to image deconvolution. The system is trained end-to-end on a set of artificially generated training examples, enabling competitive performance in blind deconvo...
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关键词
Kernel,Estimation,Feature extraction,Artificial neural networks,Deconvolution,Training,Convolution
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