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This paper focuses on applying Super-Resolution (SR) on Photothermal images of the 4.9µm Red Polystyrene Beads (RPB) obtained from a Photothermal imaging (PTI) system. Since the images acquired from the PTI system are noisy and it can be costly to achieve a higher resolution from the hardware side, it is efficient to do so by SR. In this paper, the experimental procedures are presented and the SR...
Compressive Sensing (CS) is an emerging signal processing technique where a sparse signal is reconstructed from a small set of random projections. In the recent literature, CS techniques have demonstrated promising results for signal compression and reconstruction. However, their potential as dimensionality reduction techniques for time series has not been significantly explored to date. To this aim,...
The Compton scattering camera can provide higher detection efficiency since the use of a mechanical collimator is not required. Several image reconstruction algorithms for Compton scattering cameras, such as maximum likelihood method and ART, can provide good imaging performance but are indirect and computational intensive. A direct reconstruction algorithm, such as filtered back-projection, is preferable...
Image reconstruction in parallel imaging using an array of phased receiver coils involves solving a matrix equation whose coefficient matrix is formed from estimated coil sensitivity functions. Inaccurate sensitivity functions can create image artifacts and reduce signal-to-noise ratio (SNR). This paper discusses the effects of inaccurate sensitivity functions and proposes some remedies to reduce...
Parallel imaging using multiple receiver coils has emerged as an effective tool to reduce imaging time in various MRI applications. When a large number of receiver channels are used to achieve large acceleration factors, the image reconstruction problem can become very ill conditioned. This problem can be alleviated by optimizing the geometry of the coils or by mathematical regularization. Among the...
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