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Optical Image Deblurring Methods
1971Greatly sharpened images may be extracted from photographs which have been blurred either by accident (motion, lack of focus, atmospheric turbulence, etc.) or deliberately, for instance when ‘coded’ in view of special image processing or synthesis applications. Four image-deblurring methods may be distinguished: 1. Coherent optical analogue processing,
Jumpei Tsujiuchi, George W. Stroke
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2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2017
Fu-Wen Yang, Hwei Jen Lin, Hua Chuang
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Fu-Wen Yang, Hwei Jen Lin, Hua Chuang
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Debluring Low-Resolution Images
2017The recent years have witnessed significant advances in image deblurring. In general, the success of deblurring methods depends heavily on extraction of salient structures from a blurry image for kernel estimation. Most deblurring methods often operate on high-resolution images where contours or edges can be extracted for kernel estimation.
Jinshan Pan +3 more
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Smoothing Priors for Blind Image Deblurring
SIAM Journal on Imaging ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haobo Xu, Fang Li
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Rt-Deblur: Real-Time Image Deblurring for Object Detection
SSRN Electronic Journal, 2022Hanzhao Wang +3 more
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
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