Super-resolution reconstruction for terahertz images based on gradient transform

GUO Youdong; LING Furi; YAO Jianquan

doi:10.7510/jgjs.issn.1001-3806.2020.03.001

LASER TECHNOLOGY > 2020 > 44(3): 271-277. > DOI: 10.7510/jgjs.issn.1001-3806.2020.03.001

GUO Youdong, LING Furi, YAO Jianquan. Super-resolution reconstruction for terahertz images based on gradient transform[J]. LASER TECHNOLOGY, 2020, 44(3): 271-277. DOI: 10.7510/jgjs.issn.1001-3806.2020.03.001

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Super-resolution reconstruction for terahertz images based on gradient transform

1.
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
2.
School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
3.
College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China

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Received Date: May 19, 2019
Revised Date: July 02, 2019
Published Date: May 24, 2020

Graphical Abstract

Abstract

Abstract

In order to improve the quality of terahertz image and overcome the problem of edge blur of terahertz image, a super-resolution reconstruction method, which combines rational fractal interpolation and gradient field transform, was proposed in this paper for terahertz image reconstruction with frequencies of 0.25THz, 0.50THz, and 0.75THz. Meanwhile, spatial entropy-based image enhancement and bilateral filtering are introduced to optimize the reconstruction. Experimental results illustrate that after processing interpolated terahertz images by super-resolution reconstruction based on gradient field transform, the edge strength of images with frequencies of 0.25THz, 0.50THz, and 0.75THz were respectively improved by 169%, 116%, and 104%, and the average gradient of those images were improved by 16%, 28%, and 24%, respectively. Moreover, signal frequency and intensity would affect the performance of the reconstruction. This method can recover the detail information in terahertz images, sharpen edges of the object, improve the quality of terahertz images without ringing effect, and has practical value.
- image processing,
- terahertz,
- super-resolution,
- interpolation,
- gradient field transformation,
- edge sharpening

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References

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