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Hybrid and Advanced Compression Techniques for Medical Images

Authors: Thanki, Rohit M., Kothari, Ashish

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  • Covers various algorithms for data compression and medical image compression;
  • Provides simulation results of compression algorithms for different types of medical images;
  • Provides study of compressive sensing theory for compression of medical images.
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eBook $79.99
price for USA in USD (gross)
  • ISBN 978-3-030-12575-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.99
price for USA in USD
  • ISBN 978-3-030-12574-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book introduces advanced and hybrid compression techniques specifically used for medical images. The book discusses conventional compression and compressive sensing (CS) theory based approaches that are designed and implemented using various image transforms, such as: Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Singular Value Decomposition (SVD) and greedy based recovery algorithm. The authors show how these techniques provide simulation results of various compression techniques for different types of medical images, such as MRI, CT, US, and x-ray images. Future research directions are provided for medical imaging science. The book will be a welcomed reference for engineers, clinicians, and research students working with medical image compression in the biomedical imaging field. 

  • Covers various algorithms for data compression and medical image compression;
  • Provides simulation results of compression algorithms for different types of medical images;
  • Provides study of compressive sensing theory for compression of medical images.


About the authors

Dr. Rohit M. Thanki obtained his Ph.D. in Multibiometric System Security using CS Theory and Watermarking from C. U. Shah University, Wadhwan city, Gujarat. His primary areas of research are Digital Watermarking, Biometric Systems, Security, Compressive Sensing, Pattern Recognition, and Image Processing. He has published seven books, seven book chapters, and 30 research papers in refereed and indexed journals and international and national conferences. His international recognition includes his professional memberships and services in refereed organizations, program committees and as a reviewer for journals published by IEEE, Elsevier, Taylor & Francis, Springer, and IGI-Global.

 Dr. Ashish M. Kothari obtained his Ph.D. in Digital Video Watermarking from JJT University, Rajasthan, India. He is an Associate professor and Head of Electronics and Communication Engineering at Atmiya Institute of Technology and Science, Rajkot, Gujarat, India. He is also  a recognized Ph.D. supervisor at Gujarat Technological University, Ahmedabad. His primary areas of research are Image Processing, Video Processing, Digital Watermarking, and Signal Processing. He has published one book and more than 25 research papers in refereed and indexed journals and conferences at the international and national level.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $79.99
price for USA in USD (gross)
  • ISBN 978-3-030-12575-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.99
price for USA in USD
  • ISBN 978-3-030-12574-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Hybrid and Advanced Compression Techniques for Medical Images
Authors
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-12575-2
DOI
10.1007/978-3-030-12575-2
Hardcover ISBN
978-3-030-12574-5
Edition Number
1
Number of Pages
XVII, 95
Number of Illustrations
34 b/w illustrations, 9 illustrations in colour
Topics