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Motion-deblurring in human vision
Nature, 1989If photographs are taken of moving objects at slow shutter speeds the images of the objects are blurred. In human vision, however, we are not normally conscious of blur from moving objects despite the fact that the temporal response of the photoreceptors is sluggish.
M J, Morgan, S, Benton
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2014
A comprehensive guide to restoring images degraded by motion blur, bridging the traditional approaches and emerging computational photography-based techniques, and bringing together a wide range of methods emerging from basic theory as well as cutting-edge research.
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A comprehensive guide to restoring images degraded by motion blur, bridging the traditional approaches and emerging computational photography-based techniques, and bringing together a wide range of methods emerging from basic theory as well as cutting-edge research.
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Ultrafast Elastic Motion Correction via Motion Deblurring
2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2014Patient motion during PET studies degrades image quality. Some types of motion (e.g. brain) can be modeled as rigid-body transformations, whereas others (e.g. respiratory and cardiac), are more complex, involve deformations of the imaged organs, and require Elastic Motion Correction (EMC).
Inki Hong, Judson Jones, Michael Casey
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Single image blind motion deblurring
SPIE Proceedings, 2016Recovering a latent image from its blurry version is a severely ill-posed problem. In this paper a post process method is proposed for accurately estimating motion blur kernel based on its prior knowledge. And considering the small details destroy blur kernel estimation, an image decomposition process is executed before the estimation, which can ...
Bingbing Duan, Yi Li
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Hybrid-imaging for motion deblurring
2014Introduction This chapter introduces a hybrid-imaging system for motion deblurring, which is an imaging system that couples two or more cameras that function differently to perform a unified task. The cameras are usually selected to have different specialized functions. For example, a hybrid stereo camera presented by Sawhney et al .
Moshe Ben-Ezra +3 more
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Motion Deblurring Using Non-stationary Image Modeling
Journal of Mathematical Imaging and Vision, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shao, Wen-Ze +4 more
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Motion Deblurring Using Super-Sparsity
2013Motion blur is caused by the camera shake during the exposure in which the blur kernel describes the trace of shaking. Based on this generating process of the kernel , we observed that the distribution of the kernel obeys super-sparsity, as the natural images.
Jingxiong Zhao +3 more
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Learning Frame-Event Fusion for Motion Deblurring
IEEE Transactions on Image ProcessingMotion deblurring is a highly ill-posed problem due to the significant loss of motion information in the blurring process. Complementary informative features from auxiliary sensors such as event cameras can be explored for guiding motion deblurring. The event camera can capture rich motion information asynchronously with microsecond accuracy.
Wen Yang +5 more
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Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes
ACM Transactions on Graphics, 2021Hyeongseok Son +2 more
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