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näkemys - Blind Motion Deblurring
Efficient Blind Motion Deblurring via Blur Pixel Discretization
A new deblurring scheme that decomposes the deblurring regression task into simpler blur pixel discretization and discrete-to-continuous conversion tasks, leading to an efficient and high-performing blind motion deblurring model.
Efficient Motion-Adaptive Separable Collaborative Filters for Blind Motion Deblurring
A novel Motion-adaptive Separable Collaborative (MISC) Filter that can effectively handle various complex motions in the image space for blind motion deblurring.
Efficient Multi-Category and Multi-Scale Attention for Blind Motion Deblurring
A blind motion deblurring network (MCMS) based on multi-category information and multi-scale stripe attention mechanism is proposed to effectively improve motion deblurring by fusing the edge information of the high-frequency component and the structural information of the low-frequency component.
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