An optimization model for infrared image enhancement method based on p-q norm constrained by saliency value

2018 ◽  
Author(s):  
Fan Fan ◽  
Yong Ma ◽  
Xiaobing Dai ◽  
Xiaoguang Mei
Keyword(s):  
Image Enhancement ◽  
Optimization Model ◽  
Infrared Image ◽  
Enhancement Method

An analytical optimization model for infrared image enhancement via local context

2017 ◽  
Vol 87 ◽  
pp. 143-152 ◽  
Author(s):  
Yongjian Xu ◽  
Kun Liang ◽  
Yiru Xiong ◽  
Hui Wang
Keyword(s):  
Image Enhancement ◽  
Optimization Model ◽  
Infrared Image ◽  
Local Context

Infrared image enhancement method based on scale varies Retinex theory

2016 ◽  
Vol 31 (1) ◽  
pp. 104-111
Author(s):  
李 毅 LI Yi ◽  
张云峰 ZHANG Yun-feng ◽  
年 轮 NIAN Lun ◽  
崔 爽 CUI Shuang ◽  
陈 娟 CHEN Juan
Keyword(s):  
Image Enhancement ◽  
Infrared Image ◽  
Enhancement Method ◽  
Retinex Theory

scholarly journals A Thermal Infrared Image Enhancement Method Based on Histogram

2020 ◽  
Vol 42 (9) ◽  
pp. 880-885
Author(s):  
瑞杰 周 ◽  
哲嘉 田 ◽  
牧 李
Keyword(s):  
Image Enhancement ◽  
Infrared Image ◽  
Thermal Infrared ◽  
Enhancement Method

scholarly journals Improved PSO Algorithm Based on Exponential Center Symmetric Inertia Weight Function and Its Application in Infrared Image Enhancement

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 248 ◽  
Author(s):  
Chaoxuan Qin ◽  
Xiaohui Gu
Keyword(s):  
Weight Function ◽  
Image Enhancement ◽  
Fitness Function ◽  
Infrared Image ◽  
Optimal Solution ◽  
Pso Algorithm ◽  
Histogram Equalization ◽  
Inertia Weight ◽  
Enhancement Method ◽  
Improved Pso

In this paper, an improved PSO (Particle Swarm Optimization) algorithm is proposed and applied to the infrared image enhancement. The contrast of infrared image is enhanced while the image details are preserved. A new exponential center symmetry inertia weight function is constructed and the local optimal solution jumping mechanism is introduced to make the algorithm consider both global search and local search. A new image enhancement method is proposed based on the advantages of bi-histogram equalization algorithm and dual-domain image decomposition algorithm. The fitness function is constructed by using five kinds of image quality evaluation factors, and the parameters are optimized by the proposed PSO algorithm, so that the parameters are determined to enhance the image. Experiments showed that the proposed PSO algorithm has good performance, and the proposed image enhancement method can not only improve the contrast of the image, but also preserve the details of the image, which has a good visual effect.

Infrared Image Enhancement Method Based on Stationary Wavelet Transformation and Retinex

2010 ◽  
Vol 30 (10) ◽  
pp. 2788-2793 ◽  
Author(s):  
占必超 Zhan Bichao ◽  
吴一全 Wu Yiquan ◽  
纪守新 Ji Shouxin
Keyword(s):  
Image Enhancement ◽  
Wavelet Transformation ◽  
Infrared Image ◽  
Enhancement Method
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