Based on the Law of Bill Traversal of Underwater Optical Image Restoration Algorithm for Color Pixel Matrix

2014 ◽  
pp. 337-344
Author(s):  
Hao Xu ◽  
Bing Zheng ◽  
Tingting Lin
Keyword(s):  
Image Restoration ◽  
Optical Image ◽  
Restoration Algorithm ◽  
The Law ◽  
Color Pixel ◽  
Pixel Matrix

Image Restoration Algorithm for Single Nighttime Weakly Illuminated Haze Image

2018 ◽  
Vol 30 (3) ◽  
pp. 459
Author(s):  
Chunming Tang ◽  
Yancheng Dong ◽  
Xin Sun ◽  
Jun Lin ◽  
Zheng Lian
Keyword(s):  
Image Restoration ◽  
Restoration Algorithm

scholarly journals Compressed sensing image restoration algorithm based on improved SURF operator

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 1033-1045
Author(s):  
Guodong Zhou ◽  
Huailiang Zhang ◽  
Raquel Martínez Lucas
Keyword(s):  
Compressed Sensing ◽  
Image Restoration ◽  
Feature Vector ◽  
Optimization Method ◽  
Image Feature ◽  
Diffusion Method ◽  
Local Similarity ◽  
Weighting Method ◽  
Data Smoothing ◽  
Restoration Algorithm

Abstract Aiming at the excellent descriptive ability of SURF operator for local features of images, except for the shortcoming of global feature description ability, a compressed sensing image restoration algorithm based on improved SURF operator is proposed. The SURF feature vector set of the image is extracted, and the vector set data is reduced into a single high-dimensional feature vector by using a histogram algorithm, and then the image HSV color histogram is extracted.MSA image decomposition algorithm is used to obtain sparse representation of image feature vectors. Total variation curvature diffusion method and Bayesian weighting method perform image restoration for data smoothing feature and local similarity feature of texture part respectively. A compressed sensing image restoration model is obtained by using Schatten-p norm, and image color supplement is performed on the model. The compressed sensing image is iteratively solved by alternating optimization method, and the compressed sensing image is restored. The experimental results show that the proposed algorithm has good restoration performance, and the restored image has finer edge and texture structure and better visual effect.

A VQ-based blind image restoration algorithm

2003 ◽  
Vol 12 (9) ◽  
pp. 1044-1053 ◽  
Author(s):  
R. Nakagaki ◽  
A.K. Katsaggelos
Keyword(s):  
Image Restoration ◽  
Blind Image Restoration ◽  
Restoration Algorithm ◽  
Blind Image

Parallelization of a Public Image Restoration Algorithm

2007 ◽  
pp. 330-339
Author(s):  
Francisco Almeida ◽  
Carlos Delgado ◽  
Ramon García-López ◽  
Francisco de Sande
Keyword(s):  
Image Restoration ◽  
Public Image ◽  
Restoration Algorithm

Adaptively-Weighted Blind Image Restoration Algorithm Based on Energy Constraint

2018 ◽  
Vol 38 (2) ◽  
pp. 0210001 ◽  
Author(s):  
苏畅 Su Chang ◽  
付天骄 Fu Tianjiao ◽  
张星祥 Zhang Xingxiang ◽  
任建岳 Ren Jianyue ◽  
金龙旭 Jin Longxu
Keyword(s):  
Image Restoration ◽  
Energy Constraint ◽  
Blind Image Restoration ◽  
Restoration Algorithm ◽  
Blind Image
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