scholarly journals The Fuzzy Nonlinear Enhancement Algorithm of Infrared Image Based on Curvelet Transform

2011 ◽  
Vol 15 ◽  
pp. 3754-3758 ◽  
Author(s):  
Jingchao Zhao ◽  
Shiru Qu
Keyword(s):  
Infrared Image ◽  
Curvelet Transform ◽  
Enhancement Algorithm

Nonlinear Enhancement Algorithm for Infrared Image Based on Second Generation Wavelet Transform

2009 ◽  
Vol 29 (2) ◽  
pp. 353-356 ◽  
Author(s):  
秦翰林 Qin Hanlin ◽  
周慧鑫 Zhou Huixin ◽  
刘上乾 Liu Shangqian ◽  
卢泉 Lu Quan
Keyword(s):  
Wavelet Transform ◽  
Second Generation ◽  
Infrared Image ◽  
Second Generation Wavelet Transform ◽  
Second Generation Wavelet ◽  
Enhancement Algorithm

Infrared Image Nonlinear Enhancement Algorithm Based on Contourlet Transform

2009 ◽  
Vol 29 (2) ◽  
pp. 342-346 ◽  
Author(s):  
石丹 Shi Dan ◽  
李庆武 Li Qingwu ◽  
倪雪 Ni Xue ◽  
霍冠英 Huo Guanying
Keyword(s):  
Infrared Image ◽  
Contourlet Transform ◽  
Enhancement Algorithm

Anti-halation method of visible and infrared image fusion based on improved IHS-Curvelet transform

2018 ◽  
Vol 47 (11) ◽  
pp. 1126002 ◽  
Author(s):  
郭全民 Guo Quanmin ◽  
王 言 Wang Yan ◽  
李翰山 Li Hanshan
Keyword(s):  
Image Fusion ◽  
Infrared Image ◽  
Curvelet Transform

A kind of real-time infrared image enhancement algorithm

2007 ◽  
Author(s):  
Tian Si ◽  
Youtang Gao ◽  
Jianliang Qiao ◽  
Benkang Chang
Keyword(s):  
Real Time ◽  
Image Enhancement ◽  
Infrared Image ◽  
Enhancement Algorithm

Adaptive infrared image enhancement algorithm based on improved UM technique

2011 ◽  
Author(s):  
Xin-sai Wang ◽  
Qiang Wu ◽  
Wei-ping Wang ◽  
Ming He ◽  
Yu Liu
Keyword(s):  
Image Enhancement ◽  
Infrared Image ◽  
Enhancement Algorithm

A New Method for Improving Infrared Image Quality and its System Implementation

2011 ◽  
Vol 130-134 ◽  
pp. 2989-2992
Author(s):  
Zhan Hua Huan ◽  
He Meng Yang ◽  
Meng Zhu
Keyword(s):  
Polynomial Interpolation ◽  
Imaging System ◽  
Signal To Noise Ratio ◽  
Infrared Image ◽  
Adaptive Threshold ◽  
High Signal ◽  
Piecewise Polynomial ◽  
Correction Algorithm ◽  
Enhancement Method ◽  
Enhancement Algorithm

To obtain high-quality infrared image real-timely, a new correction enhancement method is proposed. The method can both compensate nonuniformity of IRFPA by using calibration-based piecewise polynomial interpolation correction algorithm and increase image contrast by using histogram-based adaptive threshold image enhancement algorithm. The experiment is performed by carrying out the method in an embedded imaging system. The results show that the system can process infrared image real-timely and the processed image is clear with high signal to noise ratio.

Enhancement algorithm for real-time infrared image processing

2011 ◽  
Author(s):  
Tian Si ◽  
Lizhi Wang ◽  
Yijia Tian ◽  
Junju Zhang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Infrared Image ◽  
Infrared Image Processing ◽  
Enhancement Algorithm

scholarly journals Fusion algorithm of visible and infrared image based on anisotropic diffusion and image enhancement (capitalize only the first word in a title (or heading), the first word in a subtitle (or subheading), and any proper nouns)

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245563
Author(s):  
Hui Huang ◽  
Linlu Dong ◽  
Zhishuang Xue ◽  
Xiaofang Liu ◽  
Caijian Hua
Keyword(s):  
Image Enhancement ◽  
Anisotropic Diffusion ◽  
Infrared Image ◽  
Source Image ◽  
Laplacian Pyramid ◽  
Infrared Images ◽  
Fusion Algorithm ◽  
Public Data ◽  
Visible Images ◽  
Enhancement Algorithm

Aiming at the situation that the existing visible and infrared images fusion algorithms only focus on highlighting infrared targets and neglect the performance of image details, and cannot take into account the characteristics of infrared and visible images, this paper proposes an image enhancement fusion algorithm combining Karhunen-Loeve transform and Laplacian pyramid fusion. The detail layer of the source image is obtained by anisotropic diffusion to get more abundant texture information. The infrared images adopt adaptive histogram partition and brightness correction enhancement algorithm to highlight thermal radiation targets. A novel power function enhancement algorithm that simulates illumination is proposed for visible images to improve the contrast of visible images and facilitate human observation. In order to improve the fusion quality of images, the source image and the enhanced images are transformed by Karhunen-Loeve to form new visible and infrared images. Laplacian pyramid fusion is performed on the new visible and infrared images, and superimposed with the detail layer images to obtain the fusion result. Experimental results show that the method in this paper is superior to several representative image fusion algorithms in subjective visual effects on public data sets. In terms of objective evaluation, the fusion result performed well on the 8 evaluation indicators, and its own quality was high.

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