2 results about "Variational regularization" patented technology

This invention relates to the field of detection and imaging technology, specifically to a muon quasi-scattering imaging device and method based on sparse representation and dictionary learning. The device includes a modular muon detector array deployed on one side, an FPGA high-speed data acquisition system, and a computational control unit, and can also integrate a momentum spectrometer module. The method includes offline dictionary preparation and online sparse reconstruction steps. First, a complete dictionary is trained using GEANT4 simulation and the K-SVD algorithm. Then, data is collected to construct an enhanced objective function containing block sparseness and anisotropic total variational regularization. The reconstructed image is obtained by optimizing the solution using the ADMM algorithm. This invention overcomes the limitations of two-sided detection, adapts to single-sided detection scenarios in geotechnical engineering, significantly improves imaging efficiency and quality under low-throughput data, has strong algorithm robustness and a scalable framework, and can accurately identify anomalies such as underground cavities and isolated boulders.

The application discloses a kind of turbulent flame geometry three-dimensional tomography method and system based on multi-probe CGI, comprising: N single-pixel detector is arranged around flame to form multi-probe detection array, dynamic space illumination modulator is used to generate structured light field to illuminate flame, each detector synchronously acquires barrel detection signal;Through compressed sensing reconstruction algorithm combined with convex optimization solving method, flame two-dimensional projection image under each view angle is recovered;Using adaptive histogram equalization, combined with filtering method, the calculation ghost imaging noise is inhibited, and two-dimensional projection image preprocessing is realized;Based on multi-view geometric projection relationship, construct tomographic projection matrix, use algebraic reconstruction technique combined with full variation regularization iterative algorithm to solve three-dimensional voxel distribution, and the flame front geometry three-dimensional structure is reconstructed.The application uses single-pixel detector to replace traditional area array camera, with the advantages of low cost, strong ability to resist harsh environment, high time resolution, suitable for high space-time resolution three-dimensional measurement.