Results 101 to 110 of about 9,413,043 (217)
Application of blind deconvolution and Lucy-Richardson Deconvolution for image deblurring
, 2018 No AbstractKeywords: image deblurring; blind deconvolution; Lucy-Richardson deconvolution; Gaussian blur ...
Halim, S.A., Abang, M.Z., Ramli, M.S.
core +1 more source
Blurring and noise degrade the performance of image processing. To mitigate this effect, various regularization-based deblurring methods have been proposed.
Wang, Y +5 more
core +1 more source
Image Blind Deblurring Using an Adaptive Patch Prior
Tsinghua Science and Technology, 2019 Image blind deblurring uses an estimated blur kernel to obtain an optimal restored original image with sharp features from a degraded image with blur and noise artifacts.
Yongde Guo, Hongbing Ma
doaj +1 more source
Recent Progress in Image Deblurring [PDF]
This paper comprehensively reviews the recent development of image deblurring, including non-blind/blind, spatially invariant/variant deblurring techniques.
Wang, R, Tao, D
core
Sharpening an unfocused image using the non-blind deblurring method
, 2023 Blurring has commonly plagued images and photographs, and it usually occurs due to motion during the capturing of an image, low light intensity from the environment, weather conditions, etc.
Goh, Jonathan Ming Han
core
Non-blind deblurring of structured images with geometric deformation
, 2015 Non-blind deconvolution, which is to restore a sharp version of a given blurred image when the blur kernel is known, is a fundamental step in image deblurring.
Zhang, Xin +7 more
core +1 more source
Recent Progress in Image Deblurring
, 2014 This paper comprehensively reviews the recent development of image deblurring, including non-blind/blind, spatially invariant/variant deblurring techniques.
Ruxin Wang, Dacheng Tao
core
Deblurring Natural Image Using Super-Gaussian Fields
, 2018 Blind image deblurring is a challenging problem due to its ill-posed nature, of which the success is closely related to a proper image prior. Although a large number of sparsity-based priors, such as the sparse gradient prior, have been successfully ...
Wenyong Dong +9 more
core +1 more source
Image Deblurring in Demanding Conditions
, 2020 Title: Image Deblurring in Demanding Conditions Author: Jan Kotera Department: Institute of Information Theory and Automation, Czech Academy of Sciences Supervisor: Doc. Ing.
Kotera, Jan
core
A Variational Neural Network Based on Algorithm Unfolding for Image Blind Deblurring
Applied SciencesImage blind deblurring is an ill-posed inverse problem in image processing. While deep learning approaches have demonstrated effectiveness, they often lack interpretability and require extensive data.
Shaoqing Gong +5 more
doaj +1 more source