Results 91 to 100 of about 15,547 (189)

Diffusion Models and Its Applications in Image Dehazing: A Survey

IET Image Processing, Volume 20, Issue 1, January/December 2026.
1.This survey represents the first systematic and comprehensive overview of diffusion model‐based image dehazing, aiming to provide a valuable guide for future researchers and stimulate continued progress in this field. 2.We summarize relevant papers along with their corresponding code links and other resources for image dehazing and all‐in‐one image ...
Liangyu Zhu, Yanzhao Su, Zhigao Cui, Yunwei Lan, Nian Wang, Lanqing Zhang, Yanping Cai   +6 more
wiley   +1 more source

Joint Non-Local Statistical and Wavelet Tight Frame Information-Based ℓ₀ Regularization Model for Image Deblurring

IEEE Access
The task of image deblurring is a complex and ill-posed inverse problem, which endeavors to restore a high-fidelity image from its degraded and blurred counterpart.
Yongqun Tan, Lingli Zhang, Yu Chen
doaj   +1 more source

Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

, 2010
As a powerful statistical image modeling technique, sparse representation has been successfully used in various image restoration applications. The success of sparse representation owes to the development of l1-norm optimization techniques, and the fact ...
Dong, Weisheng, Shi, Guangming, Wu, Xiaolin, Zhang, Lei   +3 more
core   +1 more source

ESORecon‐Net: A Novel Framework for Enhanced Brain MRI Image Reconstruction Using Echo State Networks and Osprey Optimization

IET Software, Volume 2026, Issue 1, 2026.
This study uses advanced approaches on the enlarged BRATS dataset to increase brain magnetic resonance imaging (MRI) image reconstruction accuracy and reliability. This study addresses MRI image processing issues such as noise, artifacts, and high‐quality reconstruction. These traits are essential for brain tumor detection and analysis.
N. Sashi Prabha, N. Rama Rao, Nadeem Sarwar   +2 more
wiley   +1 more source

A combined first and second order variational approach for image reconstruction

, 2013
In this paper we study a variational problem in the space of functions of bounded Hessian. Our model constitutes a straightforward higher-order extension of the well known ROF functional (total variation minimisation) to which we add a non-smooth second ...
A. Bertozzi, A. Braides, A. Chambolle, A. Chambolle, A. Tikhonov, A.L. Bertozzi, C. B. Schönlieb, C. Frohn-Schauf, C. Pöschl, C. Schönlieb, C. Vogel, C. Wu, D. Gabay, E.T. Whittaker, F. Demengel, F. Demengel, G. Buttazzo, G. Dal Maso, G. Dal Maso, G. Gilboa, I. Ekeland, J. Cai, K. Bredies, K. Bredies, K. Bredies, K. Frick, K. Papafitsoros, L. Alvarez, L. Ambrosio, L. Evans, L. Rudin, L. Vese, M. Amar, M. Benning, M. Benning, M. Benning, M. Bergounioux, M. Burger, M. Burger, M. Burger, M. Lysaker, M. Lysaker, M. Nikolova, M. Nikolova, O. Scherzer, P. Charbonnier, P. Combettes, P. Vassilevski, P.J. Green, R. Acar, S. Boyd, S. Didas, S. Lefkimmiatis, S. Osher, S. Setzer, S. Setzer, S. Setzer, T. Chan, T. Chan, T. Chan, T. Goldstein, T. Pock, T.F. Chan, V. Duval, W. Hinterberger, W. Yin, X. Feng, X. Tai, Y. Dong, Z. Wang, Z. Wang   +70 more
core   +1 more source

Regularization by Global DGMRES Method for Ill‐Posed Matrix Equation AXB = G

Advances in Mathematical Physics, Volume 2026, Issue 1, 2026.
In this article, we deal with the solution of the linear, large‐size, and ill‐posed matrix equation AXB = G, whose matrix G is contaminated with noise. We apply Tikhonov regularization in combination with the Gl‐DGMRES method to mitigate the effect of noise.
Vahid Hosseinabadi, Hossein Sadeghi Goughery, Mahnoor Sarfraz   +2 more
wiley   +1 more source

Deblurring Multispectral Laparoscopic Images

, 2014
Multispectral imaging is an optical modality that can provide real-time in vivo information about tissue characteristics and function through signal sensitivity to chromophores in the tissue. In this paper, we present a deblurring strategy that enables imaging of dynamic tissues at wavelengths where the required acquisition time can cause significant ...
Geoffrey Jones, Neil Clancy, Simon Arridge, Dan Elson, Danail Stoyanov   +4 more
openaire   +2 more sources

SID: Sensor-Assisted Image Deblurring System for Mobile Devices

IEEE Access, 2019
Handheld mobile photography is often affected by motion blur due to the difficulty of keeping the camera's stable. The existing processing method is usually a high-cost deblurring process of a computer, which seriously affects the user experience, and ...
Qing Wang, Jun Tan, Tianzhang Xing, Feng Chen, Jinping Niu   +4 more
doaj   +1 more source

Regularization of Nonhomogeneous Ill‐Posed Parabolic Cauchy Problems via a Two‐Parameter Method With Stability Estimates

Journal of Mathematics, Volume 2026, Issue 1, 2026.
This study aims to propose a regularization method for an ill‐posed Cauchy problem involving an unbounded linear operator in a Hilbert space, in order to obtain a stable approximate solution together with error estimates. The main idea of the method developed in this study is to simultaneously perturb both the right‐hand side of the equation f(t) and ...
Faiza Boulham, Nihed Teniou, Ding-Xuan Zhou   +2 more
wiley   +1 more source

Turbulent image deblurring using a deblurred blur kernel

Journal of Optics
Abstract In the context of addressing a noisy turbulence-degraded image, it is common to use a denoising low-pass filter before implementing a deblurring algorithm. However, this filter not only suppresses noise but also induces a certain degree of blur into the degraded image.
Lizhen Duan, Libo Zhong, Jianlin Zhang
openaire   +1 more source