Mathematical Cookbook for Snapshot Compressive Imaging
Yaping Zhao
TL;DR
This paper offers an accessible mathematical cookbook for Snapshot Compressive Imaging, covering optimization techniques and deep equilibrium models to aid researchers and practitioners in the field.
Contribution
It provides a comprehensive, user-friendly collection of mathematical methods and models specifically tailored for Snapshot Compressive Imaging.
Findings
Introduces a structured mathematical framework for SCI
Details optimization algorithms used in SCI
Explores deep equilibrium models for SCI
Abstract
The author intends to provide you with a beautiful, elegant, user-friendly cookbook for mathematics in Snapshot Compressive Imaging (SCI). Currently, the cookbook is composed of introduction, conventional optimization, and deep equilibrium models. The latest releases are strongly recommended! For any other questions, suggestions, or comments, feel free to email the author.
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Taxonomy
TopicsMRI in cancer diagnosis · Advanced MRI Techniques and Applications · Medical Imaging Techniques and Applications