Blind Image Deblurring via Bayesian Estimation Using Expected Loss
This paper introduces a new approach to single image blind deblurring via Bayesian estimation using expected loss, diverging from traditional maximum a posteriori (MAP) estimation methods that are limited by the delta kernel problem-a phenomenon where ...
Jinook Lee, Moon Gi Kang
doaj +1 more source
A Fast Nonlinear Sparse Model for Blind Image Deblurring. [PDF]
Zhang Z +8 more
europepmc +1 more source
MTF-Based Performance Comparison of Techniques for Deblurring Optical Satellite Imagery
Blurring is a significant concern in electro-optical satellite imagery due to its negative effect on image quality, which is caused by an undesirable loss of bandwidth.Blurred images and compromised image quality may result
Necip Gökhan Kasapoğlu +4 more
doaj
A hybrid spatial blur detection and restoration algorithm for smartphone captured document images. [PDF]
Karthik U +4 more
europepmc +1 more source
Restoration of Non-Uniform Motion-Blurred Star Images Based on Dynamic Strip Attention. [PDF]
Han J, Niu Z, He J.
europepmc +1 more source
A state-of-the-art review of image motion deblurring techniques in precision agriculture. [PDF]
Huihui Y, Daoliang L, Yingyi C.
europepmc +1 more source
MicroDeblurNet: high-fidelity restoration of spatially variant defocus in microscopic images for cucumber downy mildew. [PDF]
Zhang Y +5 more
europepmc +1 more source
Quantitative Kernel estimation from traffic signs using slanted edge spatial frequency response as a sharpness metric. [PDF]
Pandey A +4 more
europepmc +1 more source
EAFormer: Edge-Aware Guided Adaptive Frequency-Navigator Network for Image Restoration. [PDF]
Xie W, Zhou D, Zhang W, Wang W.
europepmc +1 more source
Nonlinear Deblurring for Low-Light Saturated Image. [PDF]
Cao S, Chang Y, Xu S, Fang H, Yan L.
europepmc +1 more source

