Single-pixel detector spectral reflectivity reconstruction method based on sparse prior

Abstract

The invention relates to a method for reconstructing the spectral reflectance of a single-pixel detector based on sparse priors, which performs principal component analysis on the training sample set, and obtains the first three principal components of the spectral reflectance data of the training sample set as the reconstruction basis function Vector; through the single-pixel detector to collect the spectral energy of a single multi-spectral test color block, the energy value U is obtained; in the process of solving the training sample set, the basis function vector B, the basis function vector coefficient a and the specific coefficient of the measurement matrix are obtained The reflectance of the test sample is reconstructed by the obtained spectral energy U collection for a single multi-spectral test color patch. The present invention can make full use of the spatially sparse feature of spectral reflectance and the sparse prior knowledge of the relative spectral power distribution of the lighting source based on the principal component orthogonal basis, reduce the optical complexity of the multi-spectral data acquisition system, reduce the number of samples, and improve the spectrum of the reflectance Improve reconstruction efficiency and improve reconstruction accuracy.

Description

technical field [0001] The invention relates to an image processing technology, in particular to a method for reconstructing spectral reflectance of a single-pixel detector based on sparse prior. Background technique [0002] The spectral reflectance reconstruction method uses the obtained multispectral image to obtain spectral reflectance information that is independent of equipment and scene by using methods such as pseudo-inverse reconstruction, Wiener reconstruction, and finite-dimensional reconstruction. At present, equipment for obtaining multispectral images generally uses grating light splitting, mechanical rotating filters, liquid crystal tunable filters and nanohole arrays for light splitting. The first two methods above have high optical system complexity and poor reliability, while the latter two methods The price is expensive and the production process is complicated. Contents of the invention [0003] The present invention is aimed at the problem of high and...

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Problems solved by technology

[0003] The present invention is aimed at the problem of high and complicated optical equipment for acquiring multispectral images, and proposes a single-pixel detector spectral reflectance reconstruction method based on sparse prior, which can reduce the optical complexity of the multispectral data acquisition system , reduce the number of samples, improve the spectral reconstruction efficiency of reflectivity, and improve the reconstruction accuracy

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