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Advances in deep learning for real-time image and video reconstruction and processing
2020
Journal of Real-Time Image Processing
Accurate reconstruction algorithms play a vital role in modern imaging techniques. Reconstructing image is a central problem in many key applications including super-resolution imaging, X-ray tomography, ultrasound imaging, remote sensing, and magnetic resonance imaging. The process of image reconstruction typically requires solving an inverse problem that is ill-posed and large-scale and thus challenging to solve. The main challenge of this method is its sensitivity to measurement noise in the
doi:10.1007/s11554-020-01026-2
fatcat:23jzdzkoxfdnrjfeew7bpwy7fm