Results 91 to 100 of about 16,544 (207)

Patch-Wise Blind Image Deblurring Via Michelson Channel Prior

IEEE Access, 2019
Motion blur exists in many computer vision tasks, including faces, texts, and low-illumination images etc. It has been proved that Dark Channel Prior (DCP) and Bright Channel Prior (BCP) can both help the image deblurring by enhancing the dark or bright ...
Guoquan Wen, Chao Min, Zeyun Jiang, Zhaozhong Yang, Xiaogang Li   +4 more
doaj   +1 more source

Blind Image Deblurring via Local Maximum Difference Prior [PDF]

, 2020
Jing Liu, Jieqing Tan, Lei He, Xianyu Ge, Dandan Hu   +4 more
openalex   +1 more source

Image deblurring, spectrum interpolation and application to satellite imaging [PDF]

, 2000
Sylvain Durand, François Malgouyres, Bernard Rougé   +2 more
openalex   +1 more source

A Novel Fractional-Order Non-Convex TV^α,p Model in Image Deblurring

Fractal and Fractional
In this paper, we propose a non-convex model with fractional-order applied to image deblurring problems. In the new model, fractional-order gradients have been introduced to preserve detailed features, and a source term with a blurry kernel is used for ...
Bao Chen, Xiaohua Ding, Yuchao Tang
doaj   +1 more source

An Edge-Enhanced Branch for Multi-Frame Motion Deblurring

IEEE Access
Non-uniform deblurring is one of the most important image restoration tasks for providing appropriate information for subsequent applications that require image recognition.
Sota Moriyama, Koichi Ichige
doaj   +1 more source

Deep Mean-Shift Priors for Image Restoration

, 2017
In this paper we introduce a natural image prior that directly represents a Gaussian-smoothed version of the natural image distribution. We include our prior in a formulation of image restoration as a Bayes estimator that also allows us to solve noise ...
Bigdeli, Siavash Arjomand, Favaro, Paolo, Jin, Meiguang, Zwicker, Matthias   +3 more
core  

Arbitrarily shaped Point Spread Function (PSF) estimation for single image blind deblurring

, 2020
Aftab Khan, Hujun Yin
openalex   +2 more sources

Denoising Based On Wavelets And Deblurring Via Self-Organizing Map For Synthetic Aperture Radar Images [PDF]

, 2008
Mario Mastriani
openalex   +1 more source

Image Deblurring and Effect of Wiener, Regularized, Lucky-Richardson, Blind-Deconvolution, Average and Median Filters on Blurred Image and Noisy Image

Tikrit Journal of Engineering Sciences, 2014
In image deblurring, we try to recover the original, sharp image by using a mathematical model of the blurring process. There are several techniques to recover the original image, but they could not recover the image exactly.
Shayma Wail Nourildean Mohammed Ismaeel Khalil
doaj  

On the preconditioning of the primal form of TFOV-based image deblurring model. [PDF]

Sci Rep, 2023
Kim J, Ahmad S.
europepmc   +1 more source