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2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2014
As technology advances; blur in an image remains as an ever-present issue in the image processing field. A blurred image is mathematically expressed as a convolution of a blur function with a sharp image, plus noise. Removing blur from an image has been widely researched and is still important as new images are collected.
Michael J. McLaughlin +6 more
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As technology advances; blur in an image remains as an ever-present issue in the image processing field. A blurred image is mathematically expressed as a convolution of a blur function with a sharp image, plus noise. Removing blur from an image has been widely researched and is still important as new images are collected.
Michael J. McLaughlin +6 more
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Rt-Deblur: Real-Time Image Deblurring for Object Detection
SSRN Electronic Journal, 2022Hanzhao Wang +3 more
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Residual Diffusion Deblurring Model for Single Image Defocus Deblurring
Proceedings of the AAAI Conference on Artificial IntelligenceDefocus deblurring is a challenging task due to the spatially varying nature of defocus blur with multiple plausible solutions of a single given image. However, most existing methods falter when faced with extensive and variable defocus blur, either ignoring it or relying on additional loss functions to enhance perceptual quality. This often results in
Haoxuan Feng +4 more
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Image deblurring using diffraction gratings
Optics Letters, 1980A method of deblurring an image is described that uses an achromatic, coherent optical-processing system and either one or two diffraction gratings. One grating, after differentiation, serves as a reference function that is cross correlated with the blurred image.
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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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