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Blind Deblurring Based on Sigmoid Function [PDF]
Sensors, 2021 Blind image deblurring, also known as blind image deconvolution, is a long-standing challenge in the field of image processing and low-level vision. To restore a clear version of a severely degraded image, this paper proposes a blind deblurring algorithm
Shuhan Sun +3 more
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Noise-Adaptive Non-Blind Image Deblurring [PDF]
Sensors, 2022 This work addresses the problem of non-blind image deblurring for arbitrary input noise. The problem arises in the context of sensors with strong chromatic aberrations, as well as in standard cameras, in low-light and high-speed scenarios.
Michael Slutsky
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Learning Blind Motion Deblurring [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 As handheld video cameras are now commonplace and available in every smartphone, images and videos can be recorded almost everywhere at anytime. However, taking a quick shot frequently yields a blurry result due to unwanted camera shake during recording ...
Hirsch, Michael +3 more
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Light Field Blind Motion Deblurring [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We study the problem of deblurring light fields of general 3D scenes captured under 3D camera motion and present both theoretical and practical contributions.
Ng, Ren +2 more
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Blind Deblurring Using Space Target Features [PDF]
IEEE Access, 2019 The star image suffers inevitably from degradation due to the high-speed motion of the space target and the long exposure time of the camera, therefore the attitude information of the star is hard to accurately obtain.
Peiyu Liu +4 more
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Multi-scale progressive blind face deblurring
Complex & Intelligent Systems, 2022 Blind face deblurring aims to recover a sharper face from its unknown degraded version (i.e., different motion blur, noise). However, most previous works typically rely on degradation facial priors extracted from low-quality inputs, which generally leads
Hao Zhang +7 more
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Application of Blind Deblurring Reconstruction Technique to SPECT Imaging [PDF]
International Journal of Biomedical Imaging, 2007 An SPECT image can be approximated as the convolution of the ground truth spatial radioactivity with the system point spread function (PSF). The PSF of an SPECT system is determined by the combined effect of several factors, including the gamma camera ...
Heng Li, Yibin Zheng
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Overview of Blind Deblurring Methods for Single Image [PDF]
Jisuanji kexue yu tansuo, 2022 Image deblurring has been a research hotspot in computer vision and image processing for a long time. The motion blur or focus blur image caused by camera jitter, object motion or defocus will seriously affect the use and follow-up processing of the ...
LIU Liping, SUN Jian, GAO Shiyan
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Gradient-wise search strategy for blind image deblurring [PDF]
MATEC Web of Conferences, 2022 Blind image deblurring is a long-standing challenging problem to improve the sharpness of an image as a prerequisite step. Many iterative methods are widely used for the deblurring image, but care must be taken to ensure that the methods have fast ...
Wang Yunhong, Liu Dan
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Blind Deblurring Based on a Single Luminance Channel and L1-Norm
IEEE Access, 2021 To improve the image quality of the deblurring results restored by existing blind deblurring method, an effective image blind deblurring method based on a single channel and L1-norm is proposed for the blurry images.
Luoyu Zhou, Zhiyang Liu
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