Colorization of short wave infrared image based on depth learning

Xiaolong Rong; Haiying Wu; Gang Liu; Haohao Cheng; Le Zhang

doi:10.1117/12.3021512

18 March 2024 Colorization of short wave infrared image based on depth learning

Xiaolong Rong, Haiying Wu, Gang Liu, Haohao Cheng, Le Zhang

Proceedings Volume 13104, Advanced Fiber Laser Conference (AFL2023); 131040U (2024) https://doi.org/10.1117/12.3021512
Event: Advanced Fiber Laser Conference (AFL2023), 2023, Shenzhen, China

Abstract

Short-wave infrared imaging has the advantages of clear target detail expression, strong target identification ability, strong adaptability to haze climatic conditions and dust and smoke application environment, and can realize hidden imaging, low light level night vision detection, so more and more short-wave infrared imaging research is carried out. Based on the short wave infrared images as the goal, to carry out the short-wave infrared image colorization method based on color migration study, put forward an improved way of automatic unsupervised grayscale image coloring method, based on the depth of the convolutional neural network learning coloring method, and the global image of the transcendental and extracted from the whole image to calculate the local image features from image patches, The global prior provides image-level information, while the local feature represents the local texture or object at a given location. By combining these two features, the image is automatically colored to realize the color of short-wave infrared image, and the image quality evaluation after color is given. The experimental results show that the method has no loss of color image details, the image color information distribution is reasonable, high definition, obtained a new visual effect image, for target detection and recognition, key area monitoring to provide a more visual effect of target detection and recognition and scene monitoring means.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaolong Rong, Haiying Wu, Gang Liu, Haohao Cheng, and Le Zhang "Colorization of short wave infrared image based on depth learning", Proc. SPIE 13104, Advanced Fiber Laser Conference (AFL2023), 131040U (18 March 2024); https://doi.org/10.1117/12.3021512

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KEYWORDS

Image processing

Infrared imaging

Infrared radiation

Short wave infrared radiation

Image fusion

Education and training

Target recognition

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