Terahertz time-domain spectral sparse imaging method

A terahertz time-domain and sparse imaging technology, applied in the field of terahertz time-domain spectroscopy, can solve problems such as inability to match local structural features of signals, oscillation phenomena and block effects, and high computational complexity, and achieve elimination of oscillation phenomena and block effects, The effect of enhanced sparsity

Inactive Publication Date: 2017-02-22
HENAN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

Since the orthogonal wavelet base is a function set obtained by translation and telescopic transformation of basic wavelet functions, translation is non-uniform sampling. As the scale increases, the displacement sampling interval increases with the power of 2, which cannot be well solved from a multi-scale perspective. Matches the local structural characteristics of t

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  • Terahertz time-domain spectral sparse imaging method
  • Terahertz time-domain spectral sparse imaging method
  • Terahertz time-domain spectral sparse imaging method

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Embodiment Construction

[0058] Below in conjunction with accompanying drawing and embodiment, the present invention will be further described:

[0059] Such as figure 1 As shown, a terahertz time-domain spectral sparse imaging method includes the following steps:

[0060] Step 1: Build a THz time-domain spectral imaging system model

[0061] 1a) Assuming that the terahertz two-dimensional image object x has m×n pixels, let N=m×n, randomly select the frequency domain data of M positions from the N pixels for terahertz detection, then in each A complete terahertz time-domain waveform data will be obtained when detecting the position;

[0062] 1b) Selecting the peak value of each terahertz time-domain waveform as the pixel value corresponding to the detection pixel point, an M-dimensional detection data y will be obtained corresponding to the M detection positions;

[0063] 1c) Since the terahertz detection data y is obtained by random sampling of the frequency domain data of the imaging object, the ...

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Abstract

The invention discloses a terahertz time-domain spectral sparse imaging method. Shift-invariant wavelet transformation is used to decompose a terahertz image; and the sparsity of wavelet transformation coefficients of the terahertz image is enhanced, namely, high coefficient values in the wavelet transformation coefficients are obtained in an enhanced manner, and influence of low coefficient values is inhibited. The wavelet coefficients obtained after shift-invariant wavelet transformation are used to implement nonlinear transformation by utilizing an exponential function; a split iteration algorithm is used to split an optimized cost function of terahertz time-domain spectral sparse imaging into a series of subproblems, and iteration optimization is carried out on the subproblems; and the reconstruction quality is improved, and a terahertz time-domain spectral sparse imaging result can be obtained rapidly.

Description

technical field [0001] The invention relates to the technical field of terahertz time-domain spectroscopy, in particular to a sparse imaging method of terahertz time-domain spectroscopy. Background technique [0002] Terahertz time-domain spectroscopy technology is a far-infrared spectroscopy detection technology developed internationally in recent years. Terahertz time-domain spectroscopy technology uses terahertz pulses excited by femtosecond pulsed lasers as light sources, and uses time delays for time-domain measurements to obtain spectral time-domain waveforms. Compared with traditional Fourier transform infrared spectroscopy, the measurement of terahertz time-domain spectroscopy is a coherent measurement, which is not sensitive to background noise and can obtain a high signal-to-noise ratio. [0003] As a light source, terahertz radiation, like other radiation such as visible light, infrared and X-rays, can be used as a signal source for imaging objects. And because ...

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Application Information

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IPC IPC(8): G01J3/28G01N21/3586
CPCG01J3/2823G01N21/3586
Inventor 任笑真孙福艳蒋玉英吕宗旺秦瑶乔丽红翁强
Owner HENAN UNIVERSITY OF TECHNOLOGY
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