Image denoising and enhancement of terahertz passive imaging

Yashang Li; Guozhong Zhao

doi:10.1117/12.2539884

14 August 2019 Image denoising and enhancement of terahertz passive imaging

Yashang Li, Guozhong Zhao

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111790X (2019) https://doi.org/10.1117/12.2539884
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

The wavelength of the terahertz is between the infrared and the microwave, and the photon energy is low, so it has great application prospects in security inspection. In order to further improve the target resolution of terahertz passive imaging system, A terahertz image enhancement method based on a block matching and three-dimensional and weighted Schatten-p norm minimization is proposed to improve the image resolution of terahertz passive imaging system. It uses three-dimensional matched filtering to remove image noise on the basis of mean filtering, and then adopts Lucy Richardson algorithm and weighted Schatten-p norm minimization for image restoration. Finally, the convolution filter is used to enhance image details and the background of the image is subtracted by the edge detection. The method of paper significantly enhances the image contrast and increases system resolution from 2cm to 1.5cm, effectively improving system performance.

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Yashang Li and Guozhong Zhao "Image denoising and enhancement of terahertz passive imaging", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111790X (14 August 2019); https://doi.org/10.1117/12.2539884

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KEYWORDS

Image processing

Image filtering

Image enhancement

Imaging systems

Metals

Signal to noise ratio

Denoising

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