Solution of an under-determined system of linear equations finds many applications in signal processing. Tasks like reconstruction, denoising, deblurring, deconvolution, inverse half-toning, super-resolution, all fall under the category of inverse problems. We solve such problems by interecting the latest in signal processing and machine learning.
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V. Singhal and A. Majumdar, “A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning”, Pattern Recognition, vol. 100, 2020.
J. Mehta and A. Majumdar, “RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction”, Pattern Recognition, Vol. 63, pp. 499-510, 2017.