Results 41 to 50 of about 511,982 (176)

Naive mean field approximation for image restoration

open access: yes, 2002
We attempt image restoration in the framework of the Baysian inference. Recently, it has been shown that under a certain criterion the MAP (Maximum A Posterior) estimate, which corresponds to the minimization of energy, can be outperformed by the MPM ...
Bray A. J.   +10 more
core   +1 more source

Multilevel FISTA for Image Restoration

open access: yesICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
This paper presents a multilevel FISTA algorithm, based on the use of the Moreau envelope to build the correction brought by the coarse models, which is easy to compute when the explicit form of the proximal operator of the considered functions is known.
Lauga, Guillaume   +3 more
openaire   +3 more sources

Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system

open access: yesScientific Reports
The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning
Jian Chen   +4 more
doaj   +1 more source

Image clearness processing for image restoration based on generative adversarial networks

open access: yesInternational Journal of Cognitive Computing in Engineering
Image restoration and enhancement techniques have found widespread applications in the field of digital image processing, spanning areas such as medical imaging, remote sensing image analysis, and historical document restoration.
Xin Wang, Na E, Jingbo Yang
doaj   +1 more source

Segmentation and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes

open access: yes, 2015
In this article, a new method for segmentation and restoration of images on two-dimensional surfaces is given. Active contour models for image segmentation are extended to images on surfaces.
Benninghoff, Heike, Garcke, Harald
core   +1 more source

Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers

open access: yes, 2019
In image restoration tasks, like denoising and super resolution, continual modulation of restoration levels is of great importance for real-world applications, but has failed most of existing deep learning based image restoration methods.
Dong, Chao, He, Jingwen, Qiao, Yu
core   +1 more source

Traditional landscape painting and art image restoration methods based on structural information guidance

open access: yesJournal of Intelligent Systems
In the field of traditional landscape painting and art image restoration, traditional restoration methods have gradually revealed limitations with the development of society and technological progress.
Yao Zhimin
doaj   +1 more source

A Survey of Restoration and Enhancement for Underwater Images

open access: yesIEEE Access, 2019
Images captured underwater usually suffer from color distortion, detail blurring, low contrast, and a bluish or greenish tone due to light scattering and absorption in the underwater medium, which in turn the visibility is adversely affected by these ...
Weidong Zhang   +5 more
doaj   +1 more source

Graph Spectral Image Processing

open access: yes, 2018
Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wireless sensor networks).
Cheung, Gene   +3 more
core   +1 more source

Image restoration with group sparse representation and low‐rank group residual learning

open access: yesIET Image Processing
Image restoration, as a fundamental research topic of image processing, is to reconstruct the original image from degraded signal using the prior knowledge of image.
Zhaoyuan Cai   +5 more
doaj   +1 more source

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