A hybrid spatial blur detection and restoration algorithm for smartphone captured document images. [PDF]
Sci RepKarthik U +4 more
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A lightweight causal Mamba network for blurred QR code image restoration. [PDF]
Sci RepZhang H +5 more
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Restoration of Non-Uniform Motion-Blurred Star Images Based on Dynamic Strip Attention. [PDF]
J ImagingHan J, Niu Z, He J.
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MHAFNet: multi-stage hybrid attention and adaptive feature fusion network for image restoration. [PDF]
Sci RepHuang J, Shen J, Wang M, Jing Y, Chen R.
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Study on image enhancing and deblurring
, 2016 碩士隨著時代的演進，數位設備的取得已相當普遍，影像的應用也有廣泛被應用的趨勢，影像的品質很可能因為環境或設備的不良因素而受到影響，因而有許多改善影像品質的方法與技術被提出，如影像強化、影像去模糊、影像去雜訊、影像超解析等。其中影像強化主要是解決影像取像時因強光、光線不足或拍攝方式不當等不良因素造成影像過亮、過暗、或雜訊產生等問題。A. Gorai and A.
莊驊;Chuang, Hua
core
MicroDeblurNet: high-fidelity restoration of spatially variant defocus in microscopic images for cucumber downy mildew. [PDF]
Plant MethodsZhang Y +5 more
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EAFormer: Edge-Aware Guided Adaptive Frequency-Navigator Network for Image Restoration. [PDF]
Sensors (Basel)Xie W, Zhou D, Zhang W, Wang W.
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A state-of-the-art review of image motion deblurring techniques in precision agriculture. [PDF]
Heliyon, 2023 Huihui Y, Daoliang L, Yingyi C.
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A survey on various image deblurring methods
, 2016 Image blur is one of the main types of degradation that reduces image quality. Image deblurring is an attempt to invert blurring process by using mathematical model to get best estimation of latent (sharp) image. Blurring can be modeled mathematically as
Farook, Omar +3 more
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Quantitative Kernel estimation from traffic signs using slanted edge spatial frequency response as a sharpness metric. [PDF]
Sci RepPandey A +4 more
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