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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...
It is extensively accepted that much noise is included in hyperspectral imagery (HSI). Noise removal for HSI is an important but challenging task. Most denoising methods have one or more model parameters. For many algorithms, the denoising performance strongly depends on the values of parameters. In many cases, empirically selected parameters are not adaptive to various noise levels. Another challenge...
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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