An image preprocessing algorithm for infrared small target detection in the near-earth background

Yuan-qing Yang; Zhi-li Zhang; Chuan-xun Hou

doi:10.1117/12.2503043

9 August 2018 An image preprocessing algorithm for infrared small target detection in the near-earth background

Yuan-qing Yang, Zhi-li Zhang, Chuan-xun Hou

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080618 (2018) https://doi.org/10.1117/12.2503043
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

In contrast to detection in the sky or sea background, infrared small target detection in the near-earth background shows its own particularity and complexity. In this paper, an infrared image preprocessing algorithm using dark image processing and improved K-SVD algorithm is proposed. In the first place, an infrared image model in the near-earth background is constructed. Due to the similar characteristic of low contrast between infrared images and foggy images, we propose an analogical method that analogizes infrared images as foggy images. On this basic, theories of image dehazing can be employed in the process. In this preprocessing algorithm, near-earth background suppression in infrared images is achieved by dark image processing method. After background suppression, an improved K-SVD algorithm based on NLM algorithm is applied for image denoising. Considering relevant information of different image blocks and the orthogonality between residual terms after denoising and chosen atoms, a regularized constraint represent for image self-similarity information is introduced to improve K-SVD algorithm. Experiments show that the proposed preprocessing algorithm can effectively suppress near-earth background, enhance the contrast between target and its peripheral region, and improve the performance of infrared image preprocessing.

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Yuan-qing Yang, Zhi-li Zhang, and Chuan-xun Hou "An image preprocessing algorithm for infrared small target detection in the near-earth background", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080618 (9 August 2018); https://doi.org/10.1117/12.2503043

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KEYWORDS

Infrared radiation

Detection and tracking algorithms

Infrared imaging

Image processing

Target detection

Infrared detectors

Image enhancement

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