Design of infrared image enhancement method based on high-low pass hybrid filtering

Jian-jun Zhang; Yu-dan Chen; Fu-yu Huang

doi:10.1117/12.2665981

4 April 2023 Design of infrared image enhancement method based on high-low pass hybrid filtering

Jian-jun Zhang, Yu-dan Chen, Fu-yu Huang

Proceedings Volume 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications; 126173F (2023) https://doi.org/10.1117/12.2665981
Event: Ninth Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA 2022), 2022, Hefei, China

Abstract

With the development of infrared thermal imaging technology, the infrared system is playing an increasingly prominent role in the military and civilian fields such as key-area security, intelligent monitoring, epidemic prevention and control, and precision guidance, and the requirement of infrared image quality is getting higher and higher. In this paper, an infrared image enhancement method based on high-low pass hybrid filtering is designed to solve the problem of general poor adaptability about infrared image enhancement algorithms. This method integrates the advantages of both high and low pass filtering, with which the detail enhancement and background suppression of the original image are performed by using the Butterworth high-pass filter and the Gaussian low-pass filter, respectively. Then the enhanced infrared image is obtained by optimized combination. The experimental results show that the enhanced infrared image has richer details and better contrast, and the ringing effect of the traditional method is eliminated.

Citation Download Citation

Jian-jun Zhang, Yu-dan Chen, and Fu-yu Huang "Design of infrared image enhancement method based on high-low pass hybrid filtering", Proc. SPIE 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 126173F (4 April 2023); https://doi.org/10.1117/12.2665981

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KEYWORDS

Image enhancement

Infrared radiation

Infrared imaging

Linear filtering

Thermography

Image filtering

Image processing

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