Fast image reconstruction method for terahertz complex-valued data based on BFGS

Abstract

The embodiment of the invention discloses a fast image reconstruction method for terahertz complex-valued data based on BFGS to solve the technical problems of high computational complexity, difficult parameter adjustment, and poor reconstructed image quality of the compressed sensing terahertz data reconstruction in the prior art. The method comprises the following steps: acquiring an original terahertz signal with amplitude and phase information from a terahertz imaging system and subjecting the original terahertz signal to sparse transformation by using a sparse promotion base to obtain a sparse complex-valued signal; marking a vector obtained by converting the sparse complex value signal according to columns as a first reconstructed signal and marking a vector obtained by converting the sparse complex value signal according to rows as a second reconstructed signal; sampling the first reconstructed signal and the second reconstructed signal separately by means of compressed sensing and establishing a compressed sensing reconstruction model; and solving the reconstruction model by BFGS to obtain a restoring signal.

Description

technical field [0001] The invention relates to the field of complex-valued image data processing of compressed sensing, in particular to a BFGS-based method for rapidly reconstructing images of terahertz complex-valued data. Background technique [0002] Due to some special properties of terahertz waves, terahertz imaging security inspection systems have received more and more attention from researchers in recent years. According to the needs of actual situations, a faster, higher resolution, A lower cost THz imaging system has become a research focus. As a new sampling technology, the theory of compressed sensing provides a good breakthrough for this research, and effective image reconstruction algorithm is one of the key technologies of compressed sensing. [0003] Domestic scholars have little research on terahertz data reconstruction for compressed sensing, and most of them use traditional compressed sensing reconstruction methods, mainly for real-valued data. For exa...

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Problems solved by technology

[0005] The embodiment of the present invention provides a BFGS-based method for fast image reconstruction of terahertz complex-valued data, which solves the problems of high computational complexity and difficult adjustment of parameters in the terahertz data reconstruction of compressed sensing in the prior art , the technical problem of poor reconstruction image quality

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