by Rohit M. Thanki (Author), Ashish Kothari (Author)
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.
