Results 71 to 80 of about 13,900 (206)

Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity

, 2010
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm. A dual mathematical interpretation of the proposed framework
Mallat, Stéphane, Sapiro, Guillermo, Yu, Guoshen   +2 more
core   +3 more sources

SAM-DEBLUR: Let Segment Anything Boost Image Deblurring

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Image deblurring is a critical task in the field of image restoration, aiming to eliminate blurring artifacts. However, the challenge of addressing non-uniform blurring leads to an ill-posed problem, which limits the generalization performance of existing deblurring models.
Li, Siwei, Liu, Mingxuan, Zhang, Yating, Chen, Shu, Li, Haoxiang, Dou, Zifei, Chen, Hong   +6 more
openaire   +2 more sources

The Open Reading Frame 7b of the SARS‐CoV‐2 Disperse Trans‐Golgi and Activate the NLRP3 Inflammasome

Journal of Medical Virology, Volume 98, Issue 4, April 2026.
ABSTRACT Inflammasomes orchestrate the inflammatory response against bacterial and viral infections, thereby initiating the synthesis of pro‐inflammatory cytokines, mainly IL‐1β and IL‐18. SARS‐CoV‐2 infection induces an inflammatory response mediated by the activation of NLRP1 and NLRP3 inflammasomes.
Julio García‐Villalba, Laura Hurtado‐Navarro, Diego Angosto‐Bazarra, Alberto Baroja‐Mazo, Pablo Pelegrin   +4 more
wiley   +1 more source

Learning Blind Motion Deblurring

, 2017
As handheld video cameras are now commonplace and available in every smartphone, images and videos can be recorded almost everywhere at anytime. However, taking a quick shot frequently yields a blurry result due to unwanted camera shake during recording ...
Hirsch, Michael, Lensch, Hendrik P. A., Schölkopf, Bernhard, Wieschollek, Patrick   +3 more
core   +1 more source

Analyzing Image Deblurring Through Three Paradigms

IEEE Transactions on Image Processing, 2012
To recover a sharp version from a blurred image is a long-standing inverse problem. In this paper, we analyze the research on this topic both theoretically and experimentally through three paradigms: 1) the deterministic filter; 2) Bayesian estimation; and 3) the conjunctive deblurring algorithm (CODA), which performs the deterministic filter and ...
Wang, Chao, Sun, Lifeng, Cui, Peng, Zhang, Jianwei, Yang, Shiqiang   +4 more
openaire   +4 more sources

Real-time image acquisition and deblurring for underwater gravel extraction by smartphone

International Journal of Automation and Smart Technology, 2014
Gravel size distribution is an important aspect of stream investigation. Using water photography to determine such distribution is a simple and cost-effective approach for gathering instream gravel information.
Ming-Fu Chen, Yi-Chiun Kung, Shih-Jie Chou, Wei-Shen Lo, Chi-Kuei Wang   +4 more
doaj   +1 more source

EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring

IEEE Access, 2022
In this paper, we present an end-to-end unsupervised domain adaptation approach to image deblurring. This work focuses on learning and generalizing the complex latent space of the source domain and transferring the extracted information to the unlabeled ...
Ibsa Jalata, Naga Venkata Sai Raviteja Chappa, Thanh-Dat Truong, Pierce Helton, Chase Rainwater, Khoa Luu   +5 more
doaj   +1 more source

Adaptive blind image deblurring and denoising

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 413-441, March 2026.
Abstract Blind image deblurring aims to reconstruct the original image from its blurred version without knowing the blurring mechanism. This is a challenging ill‐posed problem because there are infinitely many possible solutions. The ill‐posedness is further exacerbated if the blurring mechanism depends on the pixel location.
Yicheng Kang, Anik Roy, Partha Sarathi Mukherjee   +2 more
wiley   +1 more source

Faster gradient descent and the efficient recovery of images

, 2013
Much recent attention has been devoted to gradient descent algorithms where the steepest descent step size is replaced by a similar one from a previous iteration or gets updated only once every second step, thus forming a {\em faster gradient descent ...
Ascher, Uri, Huang, Hui
core   +1 more source

Multi‐Scale Transformer for Image Restoration

CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 41-54, February 2026.
ABSTRACT Although Transformer‐based image restoration methods have demonstrated impressive performance, existing Transformers still insufficiently exploit multiscale information. Previous non‐Transformer‐based studies have shown that incorporating multiscale features is crucial for improving restoration results.
Wuzhen Shi, Youwei Pan, Chun Zhao, Yuqing Liu, Shaobo Zhang, Heng Zhang, Yang Wen   +6 more
wiley   +1 more source