Results 41 to 50 of about 511,982 (176)
Naive mean field approximation for image restoration
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
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
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
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in the field of digital image processing, spanning areas such as medical imaging, remote sensing image analysis, and historical document restoration.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
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
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
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
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
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
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

