Results 161 to 170 of about 293,019 (211)

Image deblurring by multi-scale modified U-Net using dilated convolution. [PDF]

Sci Prog
Shi XP, Lin SY, Yang ML, Huang CC, Lee JC.   +4 more
europepmc   +1 more source

Point spread function decoupling in computational fluorescence microscopy. [PDF]

Light Sci Appl
Wang Z, Gu W, Xu S, Miao Y, Cai Z, Peng X, Liu X, Liu L, Yu Q.   +8 more
europepmc   +1 more source

Investigation of Deconvolution Method with Adaptive Point Spread Function Based on Scintillator Thickness in Wavelet Domain. [PDF]

Bioengineering (Basel)
Kim K, Cha BK, Jeong HW, Lee Y.
europepmc   +1 more source

Historical Blurry Video-Based Face Recognition. [PDF]

J Imaging
Zhai L, Cui S, Wang Y, Wang S, Zhou J, Wilsbacher G.   +5 more
europepmc   +1 more source

PAT-Mamba: Adaptive all-in-one image restoration for photoacoustic tomography via state space model. [PDF]

Photoacoustics
Chen Z, Feng T, Ta D.
europepmc   +1 more source

Explainable blind image quality assessment with closed-loop semantic guidance and distortion diagnosis. [PDF]

Sci Rep
Song C, Yuan F, Zhang Z.
europepmc   +1 more source

Improved biometric quantification in 3D ultrasound biomicroscopy via generative adversarial networks-based image enhancement. [PDF]

J Imaging Inform Med
Minhaz AT, Murali A, Örge FH, Wilson DL, Bayat M.   +4 more
europepmc   +1 more source

Spectral Norm Regularization for Blind Image Deblurring

Symmetry, 2021
Blind image deblurring is a well-known ill-posed inverse problem in the computer vision field. To make the problem well-posed, this paper puts forward a plain but effective regularization method, namely spectral norm regularization (SN), which can be ...
Jianlin Zhang, Zhang Jianlin
exaly   +2 more sources

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Surface-Aware Blind Image Deblurring

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Blind image deblurring is a conundrum because there are infinitely many pairs of latent image and blur kernel. To get a stable and reasonable deblurred image, proper prior knowledge of the latent image and the blur kernel is urgently required. Different from the recent works on the statistical observations of the difference between the blurred image ...
Tieyong Zeng, Ming Yan
exaly   +3 more sources