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Image reconstruction for electrical impedance tomography (EIT) is a nonlinear problem. A generalized inverse operator is usually ill-posed and ill-conditioned. Therefore, the solutions for EIT are not unique and highly sensitive to the measurement noise. To improve the image quality, a new image reconstruction algorithm for EIT based on patch-based sparse representation is proposed. For each iterative...
The classic TV(Total Variation)-L1 model for gray value image denoising is extended to a generalized TV-L1 model firstly, which is then extended to generalized MTV-L1 model for color image denoising based on MTV(Multichannel Total Variation) regularization. By introducing the concept of non-local MTV based on non-local means, the generalized non-local MTV-L1 model is designed for noise removal of...
The variational models for multiplicative noise removal have been received considerable attention recently. A general variational model for different cases of multiplicative noise removal is proposed, which includes a data term and a regularization term. The data term can be derived from Gauss, Rayleigh, Gamma, Poisson distribution of noises, the regularization term can be TV (Total Variation), PM...
THz laser can penetrate a wide range of materials which are opaque to visible and near infrared light. So THz imaging has been an important research direction nowadays. When using the THz imaging methods of point-by-point scanning transmission, the laser output power’s fluctuation has a big influence on the imaging quality, which is the main source of the imaging noise. In this paper, the influence...
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