May 3, 2024, 4:58 a.m. | Nianzu Qiao, Lamei Di, Changyin Sun

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.01083v1 Announce Type: new
Abstract: Deep learning-based motion deblurring techniques have advanced significantly in recent years. This class of techniques, however, does not carefully examine the inherent flaws in blurry images. For instance, low edge and structural information are traits of blurry images. The high-frequency component of blurry images is edge information, and the low-frequency component is structure information. A blind motion deblurring network (MCMS) based on multi-category information and multi-scale stripe attention mechanism is proposed. Given the respective characteristics …

abstract advanced arxiv attention blind class cs.cv deep learning edge flaws however images information instance low scale stripe type

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