In this paper, we introduce a single-pixel hyperspectral system based on liquid crystal variable phase retarder (LCVR). Compressed sensing reconstruction algorithms L1-magic, Two-Step Iterative Shrink-age/Thresholding (TwIST), Gradient Projection for Sparse Reconstruction (GPSR) for single-pixel hyperspectral reconstruction are compared. The root mean square error (RMSE), peak signal-to-noise ratio (PSNR), correlation coefficients (CC) and convergence time (CT) are used as the evaluation criterions to estimate the performance of algorithms under various compression ratio. It helps us to choose the optimal algorithm to different application cases.
A compressive sensing based circular polarization spectral imaging system is proposed in this paper to acquire twodimensional spatial, two-dimensional polarization (the right and left circular polarization), and one spectral information, simultaneously. The combination of a double Amici prism and a Wollaston prism in this system is used to implement the spectral dispersing along two orthogonal, and compared with the traditional single dispersion prism compression spectral imager, the spectral resolution is improved. The light and left circular polarization are separated and extracted by the achromatic quarter wave-plate and a Wollaston prism. The object is spatially encoded using a coded aperture and reconstructed by Two-step Iterative Shrinkage/Thresholding algorithm. The feasibility is verified by the simulation.
In this paper, an image enhancement algorithm based on Contourlet transform is exhibited. The feasibility of the enhancement algorithm is verified through various pyramid and directional wavelet filter combinations. The enhanced images are evaluated by both the subjective and objective approaches. It provides us an alternative method to enhance the image contrast.
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