Digital image restoration
MR Banham, AK Katsaggelos - IEEE signal processing …, 1997 - ieeexplore.ieee.org
The article introduces digital image restoration to the reader who is just beginning in this
field, and provides a review and analysis for the reader who may already be well-versed in …
field, and provides a review and analysis for the reader who may already be well-versed in …
[图书][B] Blind image deconvolution: theory and applications
P Campisi, K Egiazarian - 2017 - books.google.com
Blind image deconvolution is constantly receiving increasing attention from the academic as
well the industrial world due to both its theoretical and practical implications. The field of …
well the industrial world due to both its theoretical and practical implications. The field of …
[图书][B] Iterative methods for Toeplitz systems
MK Ng - 2004 - books.google.com
Page 1 NUMERICAL MATHEMATICS AND SCIENTIFIC COMPUTATION Iterative Methods
for Toeplitz Systems MICHAEL K. NG OXFORD SCIENCE PUBLICATIONS Page 2 Page 3 …
for Toeplitz Systems MICHAEL K. NG OXFORD SCIENCE PUBLICATIONS Page 2 Page 3 …
数字图像复原技术综述
沈峘， 李舜酩， 毛建国， 辛江慧 - 中国图象图形学报, 2009 - cjig.cn
摘要数字图像复原的目的是将所观测到的退化图像恢复到退化前的原始图像,
该恢复过程在很多图像处理应用中至关重要. 近年来, 图像复原技术虽已得到广泛研究 …
该恢复过程在很多图像处理应用中至关重要. 近年来, 图像复原技术虽已得到广泛研究 …
Blind deconvolution using a variational approach to parameter, image, and blur estimation
Following the hierarchical Bayesian framework for blind deconvolution problems, in this
paper, we propose the use of simultaneous autoregressions as prior distributions for both …
paper, we propose the use of simultaneous autoregressions as prior distributions for both …
High resolution image formation from low resolution frames using Delaunay triangulation
S Lertrattanapanich, NK Bose - IEEE Transactions on Image …, 2002 - ieeexplore.ieee.org
An algorithm based on spatial tessellation and approximation of each triangle patch in the
Delaunay (1934) triangulation (with smoothness constraints) by a bivariate polynomial is …
Delaunay (1934) triangulation (with smoothness constraints) by a bivariate polynomial is …
Image restoration by matching gradient distributions
The restoration of a blurry or noisy image is commonly performed with a MAP estimator,
which maximizes a posterior probability to reconstruct a clean image from a degraded …
which maximizes a posterior probability to reconstruct a clean image from a degraded …
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed Regularization
The ℓ 1/ℓ 2 ratio regularization function has shown good performance for retrieving sparse
signals in a number of recent works, in the context of blind deconvolution. Indeed, it benefits …
signals in a number of recent works, in the context of blind deconvolution. Indeed, it benefits …
Parametric blur estimation for blind restoration of natural images: Linear motion and out-of-focus
JP Oliveira, MAT Figueiredo… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
This paper presents a new method to estimate the parameters of two types of blurs, linear
uniform motion (approximated by a line characterized by angle and length) and out-of-focus …
uniform motion (approximated by a line characterized by angle and length) and out-of-focus …
Convergence of the alternating minimization algorithm for blind deconvolution
TF Chan, CK Wong - Linear Algebra and its Applications, 2000 - Elsevier
Blind deconvolution refers to the image processing task of restoring the original image from
a blurred version without the knowledge of the blurring function. One approach that has …
a blurred version without the knowledge of the blurring function. One approach that has …