294 citations · 928 across the 63 of their papers we have counts for
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Learning Multi-Layer Transform Models
Saiprasad Ravishankar, Brendt Wohlberg
Learned data models based on sparsity are widely used in signal processing and imaging applications. A variety of methods for learning synthesis dictionaries, sparsifying transform…
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models
Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi +1
Sparsity and low-rank models have been popular for reconstructing images and videos from limited or corrupted measurements. Dictionary or transform learning methods are useful in a…
SPULTRA: Low-Dose CT Image Reconstruction with Joint Statistical and Learned Image Models
Siqi Ye, Saiprasad Ravishankar, Yong Long +1
Low-dose CT image reconstruction has been a popular research topic in recent years. A typical reconstruction method based on post-log measurements is called penalized weighted-leas…
Analysis of Fast Structured Dictionary Learning
Saiprasad Ravishankar, Anna Ma, Deanna Needell
Sparsity-based models and techniques have been exploited in many signal processing and imaging applications. Data-driven methods based on dictionary and sparsifying transform learn…
Analysis of Fast Alternating Minimization for Structured Dictionary Learning
Saiprasad Ravishankar, Anna Ma, Deanna Needell
Methods exploiting sparsity have been popular in imaging and signal processing applications including compression, denoising, and imaging inverse problems. Data-driven approaches s…