QTD Analysis of Compressed Image Data Communication: Muthu Kumaran
Compressed Sensing for Magnetic Resonance Image Reconstruction: Angshul Majumdar
Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms:A Convex Optimization Approach Bhabesh Deka/ Sumit Datta
Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms:A Convex Optimization Approach. Auflage 2019 Bhabesh Deka/ Sumit Datta
The chapters in this volume highlight the state-of-the-art of compressed sensing and are based on talks given at the third international MATHEON conference on the same topic, held from December 4-8, 2017 at the Technical University in Berlin. In addition to methods in compressed sensing, chapters provide insights into cutting edge applications of deep learning in data science, highlighting the overlapping ideas and methods that connect the fields of compressed sensing and deep learning. Specific topics covered include: Quantized compressed sensing Classification Machine learning Oracle inequalities Non-convex optimization Image reconstruction Statistical learning theory This volume will be a valuable resource for graduate students and researchers in the areas of mathematics, computer science, and engineering, as well as other applied scientists exploring potential applications of compressed sensing.
Optimization Between Image Quality and Compression Ratio:For Compressed Images Jagadeesh Bandi
This is nothing less than a totally essential reference for engineers and researchers in any field of work that involves the use of compressed imagery. Beginning with a thorough and up-to-date overview of the fundamentals of image compression, the authors move on to provide a complete description of the JPEG2000 standard. They then devote space to the implementation and exploitation of that standard. The final section describes other key image compression systems. This work has specific applications for those involved in the development of software and hardware solutions for multimedia, internet, and medical imaging applications.
Optimal Erasure Protection Assignment for Scalable Data:Protecting Scalably Compressed Images and Videos Against Erasure over Packet-based Networks Johnson Thie
JPEG2000 & JPEG for Telemedicine Applications:Objective and Subjective Quality Measures for Lossily Compressed Medical Images Tick Hui Oh