Stochastic image denoising by sampling from the posterior distribution
Image denoising is a well-known and well studied problem, commonly targeting a
minimization of the mean squared error (MSE) between the outcome and the original image …
minimization of the mean squared error (MSE) between the outcome and the original image …
Bayesian denoising of structured sources and its implications on learning-based denoising
Denoising a stationary process corrupted by additive white Gaussian noise is a classic, well-
studied and fundamental problem in information theory and statistical signal processing …
studied and fundamental problem in information theory and statistical signal processing …
Toward Theoretically Founded Learning-Based Compressed Sensing
S Jalali - IEEE Transactions on Information Theory, 2019 - ieeexplore.ieee.org
Noiseless compressed sensing refers to the problem of recovering a (high-dimensional)
signal from its under-determined linear measurements. For compressed sensing to be …
signal from its under-determined linear measurements. For compressed sensing to be …