Plug-and-Play gradient-based denoisers applied to CT image enhancement

A support-denoiser-driven framework for single image restoration

(2021) Liangtian He et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery

(2020) Rizwan Ahmad et al.   IEEE SIGNAL PROCESSING MAGAZINE

A deep convolutional neural network for simultaneous denoising and deblurring in computed tomography

(2020) D. Yim et al.   Journal of Instrumentation

Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems

(2017) Ulugbek S. Kamilov et al.   IEEE SIGNAL PROCESSING LETTERS

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

(2017) Yunjin Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Poisson inverse problems by the Plug-and-Play scheme

(2016) Arie Rond et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

An efficient method for nonnegatively constrained Total Variation-based denoising of medical images corrupted by Poisson noise

(2011) G. Landi et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A New Alternating Minimization Algorithm for Total Variation Image Reconstruction

(2008) Yilun Wang et al.   SIAM Journal on Imaging Sciences