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A terahertz image denoising method based on compressive sensing

A compressed sensing and terahertz technology, applied in the field of image processing, can solve the problem that image denoising methods cannot obtain satisfactory terahertz image effects, and achieve the effect of protecting edge and texture detail information

Active Publication Date: 2020-02-28
XIAMEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention aims to provide a terahertz image denoising method based on compressed sensing to solve the problem that the existing image denoising methods cannot obtain satisfactory terahertz image effects

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  • A terahertz image denoising method based on compressive sensing
  • A terahertz image denoising method based on compressive sensing
  • A terahertz image denoising method based on compressive sensing

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Embodiment Construction

[0035] To further illustrate the various embodiments, the present invention is provided with accompanying drawings. These drawings are a part of the disclosure of the present invention, which are mainly used to illustrate the embodiments, and can be combined with related descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, those skilled in the art should understand other possible implementations and advantages of the present invention.

[0036] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments. Such as figure 1As shown, a terahertz image denoising method based on compressed sensing may include the following steps:

[0037] S1. The signal sparse representation of the original terahertz image, the specific process is: Let Represents a two-dimensional grayscale terahertz digital image with N pixels (N=n×n), which is called the original te...

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Abstract

The invention relates to a terahertz image denoising method based on compressed sensing, which may include the following steps: S1, signal sparse representation of the original terahertz image; S2, signal perception measurement of the original terahertz image, constructing a measurement matrix; S3, through The local fast Fourier transform is used to solve the reconstruction algorithm that minimizes the total variation TV to restore the terahertz image. The present invention can remove terahertz image noise to the greatest extent while protecting useful edge and texture detail information of the image.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a terahertz image denoising method based on compressed sensing. Background technique [0002] Terahertz waves cover the frequency range of 0.3THz to 10THz (1THz=10 12 Hz), the frequency band is between infrared and microwave. Before the mid-1980s, due to the lack of efficient emission sources and sensitive detectors in the terahertz band, the electromagnetic radiation in this frequency band has not been deeply studied. The Hertzian band was once called the "terahertz gap" of the electromagnetic spectrum. However, in the past 20 years, with the development of material science and laser science, terahertz wave-related generation and detection technologies have developed rapidly, and terahertz technology has gradually been successfully applied to pharmaceuticals, biological detection, and Detection and national defense security and other fields. [0003] However, due to the hardwa...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20056G06T5/70
Inventor 邵桂芳文玉华李铁军
Owner XIAMEN UNIV