Infrared Image Enhancement Based on Regional Adaptive Multiscale Intense Light Fusion

WU Ling; CHEN Niannian; LIAO Xiaohua

Volume 42 Issue 11

Nov. 2020

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WU Ling, CHEN Niannian, LIAO Xiaohua. Infrared Image Enhancement Based on Regional Adaptive Multiscale Intense Light Fusion[J]. Infrared Technology , 2020, 42(11): 1072-1076, 1080.

Citation:

WU Ling, CHEN Niannian, LIAO Xiaohua. Infrared Image Enhancement Based on Regional Adaptive Multiscale Intense Light Fusion[J]. Infrared Technology , 2020, 42(11): 1072-1076, 1080.

WU Ling, CHEN Niannian, LIAO Xiaohua. Infrared Image Enhancement Based on Regional Adaptive Multiscale Intense Light Fusion[J]. Infrared Technology , 2020, 42(11): 1072-1076, 1080.

Citation:

WU Ling, CHEN Niannian, LIAO Xiaohua. Infrared Image Enhancement Based on Regional Adaptive Multiscale Intense Light Fusion[J]. Infrared Technology , 2020, 42(11): 1072-1076, 1080.

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Infrared Image Enhancement Based on Regional Adaptive Multiscale Intense Light Fusion

Southwest University of Science and Technology, College of Computer Science and Technology, Mianyang 621010, China

Received Date: 2019-12-30
Rev Recd Date: 2020-11-03
Publish Date: 2020-11-20

Abstract

Abstract

Image enhancement can be divided into two kinds: global enhancement and local enhancement. Current image enhancement techniques based on local enhancement cannot accurately segment the target area and background, and it is difficult to enhance the segmentation region adaptively. In this paper, a region-adaptive multi-scale strong light fusion algorithm is proposed for infrared image enhancement. Firstly, semantic segmentation technology is used to divide the target area and background area. Then, the improved multi-scale strong light fusion algorithm is used to enhance each area adaptively. The experimental results show that the enhancement effect of the proposed algorithm is better than that of the current conventional algorithms, and the visual effect of image enhancement is more realistic.
- infrared images,
- image enhancement,
- intense light fusion,
- multi scale

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References(17)

References

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