Compression And Encoding Methods In Pulse Code Modulation

Compression and Encoding Methods in Pulse Code Modulation

amount of new knowledge every day. We have to acknowledge that even the smartest people among us are incapable of familiarizing himself with all these new data. Fortunately, we are only required to deal with a very small amount of that vast number in our work and life. As those who devote himself to the field of information technology and management engineering, I sincerely believe that it is our responsibility to make efforts to accelerate the advance of science in such fields. The 2014 international Conference on Information Technology and Management Engineering, thanks to the hard work of its committee, will be held on April 26 and 27 in Hong Kong. The ITME2014 covers a wide range of topics such as network protocols, information theory and coding theory, network security, management theory, project management, public management, knowledge management etc. It is a great honor to us that numerous people from various countries, including many famous experts and excellent researchers, have shown their interest in this convention and submitted their latest studies to us as their support. Among these studies, we have selected about a hundred to be finally included in this proceeding after reviewing and discussing. We believe that this collection of work will be of great value not only to the participants of ITME2014, but also to those who has a chance of meeting it. The publication of this conference proceedings and the successful opening of ITME2014 owe its credit to a lot of people and institutions, especially the ITME2014 committee, the editors and DEStech Publications. The committee has devoted much time to reviewing the papers submitted to ITME2014, and DEStech Publications publishing those accepted papers. I would like to thank the committee and the press deeply here for their support to ITME2014 and I am eagerly looking forward to another chance for us to be a team again. Finally, let’s wish together that the 2014 International Conference on Information Technology

Hybrid and Advanced Compression Techniques for Medical Images

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.