Results 101 to 110 of about 153,211 (306)

Minimum entropy restoration using FPGAs and high-level techniques

, 2007
One of the greatest perceived barriers to the widespread use of FPGAs in image processing is the difficulty for application specialists of developing algorithms on reconfigurable hardware. Minimum entropy deconvolution (MED) techniques have been shown to
Bruce, R., Ruet, C., Marshall, S., Devlin, M.   +3 more
core  

Equivariant Denoisers for Image Restoration

One key ingredient of image restoration is to define a realistic prior on clean images to complete the missing information in the observation. State-of-the-art restoration methods rely on a neural network to encode this prior. Moreover, typical image distributions are invariant to some set of transformations, such as rotations or flips.
Renaud, Marien, Leclaire, Arthur, Papadakis, Nicolas   +2 more
openaire   +3 more sources

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

Molecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis, Jack V. Mills, Wojciech Niedzwiedz, Valentine M. Macaulay   +3 more
wiley   +1 more source

Basic Characteristics of Image Restoration by a Matrix Method

, 1989
P(論文)This paper presents a basic discussion for the image restoration by a matrix method. A system of linear equations is formulated from a point spread function.
小林, 富士男, 41870
core  

IPT-ILR: Image Pyramid Transformer Coupled with Information Loss Regularization for All-in-one Image Restoration

All-in-one image restoration has recently developed to be a new research trend in the low-level computer vision field, aiming to tackle multiple image degradation types simultaneously in a unified model.
Yang, S, Liu, F, Ding, W, Zhou, J, Wu, X, Hu, B   +5 more
core   +1 more source

FormNet:Formatted Learning for Image Restoration

, 2020
In this paper, we propose a deep CNN to tackle the image restoration problem by learning formatted information. Previous deep learning based methods directly learn the mapping from corrupted images to clean images, and may suffer from the gradient ...
JIAO, Jianbo, TU, Wei-Chih, Jiao, Jianbo; id_orcid, Liu, Ding, Tu, Wei Chih, LAU, Rynson W. H., He, Shengfeng, Lau, Rynson W.H., Huang, Thomas S.   +8 more
core   +1 more source

Bukhara Old City Restoration

ma
Uzbek Institute of Restoration
core   +2 more sources

MSTNet: a multi-stage progressive network with local–global transformer fusion for image restoration

Complex & Intelligent Systems
Image restoration is a challenging and complex problem involving recovering the original clear image from a degraded or noisy image. In the medical field, image restoration techniques can significantly improve the quality of endoscopic images, helping ...
Ruyu Liu, Lin Wang, Jie He, Jiajia Wang, Jianhua Zhang, Xiufeng Liu, Chaochao Wang, Haoyu Zhang, Sheng Dai   +8 more
doaj   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 more
wiley   +1 more source

BAYESIAN IMAGE RESTORATION, USING CONFIGURATIONS

Image Analysis and Stereology, 2011
In this paper, we develop a Bayesian procedure for removing noise from images that can be viewed as noisy realisations of random sets in the plane. The procedure utilises recent advances in configuration theory for noise free random sets, where the ...
Thordis Linda Thorarinsdottir
doaj   +1 more source