Design and Implementation of the Image Processing Software Based on the Infrared Image Feature Matching

被引：0

作者：

Tian, Fei ^{[1
]}

Cui, Shilin ^{[1
]}

机构：

[1] Nanyang Inst Technol, Nanyang 473000, Henan, Peoples R China

来源：

CYBER SECURITY INTELLIGENCE AND ANALYTICS | 2020年 / 928卷

关键词：

Infrared image; Feature matching; Image processing; Software design; Implementation results;

D O I：

10.1007/978-3-030-15235-2_6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The infrared image has some disadvantages, such as the narrow dynamic range, the low contrast and the susceptibility to the noise pollution. The traditional infrared image denoising algorithm filters out the image details while removing the noise. A new method of the infrared image denoising based on the sparse representation is proposed. Firstly, the original infrared image is clustered, and then each clustered sub-image is decomposed into a dictionary, and the denoised infrared image is reconstructed from the sparse coefficient matrix.

引用

页码：37 / 42

页数：6