Advances In Digital Image Compression Techniques
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Advances in Digital Image Processing and Information Technology
This book constitutes the refereed proceedings of the First International Conference on Digital Image Processing and Pattern Recognition, DPPR 2011, held in Tirunelveli, India, in September 2011. The 48 revised full papers were carefully reviewed and selected from about 400 submissions. The conference brought together leading researchers, engineers and scientists in the domain of Digital Image Processing and Pattern Recognition. The papers cover all theoretical and practical aspects of the field and present new advances and current research results in two tracks, namely: digital image processing and pattern recognition, and computer science, engineering and information technology.
Advances in Digital Image Compression Techniques
Author: National University of Singapore. Dept. of Information Systems and Computer Science
language: en
Publisher:
Release Date: 1992
Abstract: "Interest in development of multimedia system, which can handle digital voice and video as well as text and graphics, is ever growing. Due to the fact that large amount [sic] of data are required to represent digital image, data compression is necessary. This paper first explains how image data can be compressed and presents a review of image compression techniques. Some techniques are more mature, such as predictive coding, some are relatively new, such as subband coding and model-based coding. Then currently proposed international standards on image compression techniques are described. Finally, applications and future direction of image compression techniques are discussed in view of the development of multimedia systems."
Advanced Digital Image Processing and Its Applications in Big Data
This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging. There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover: · Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis · New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices · Image compression standards that are needed to serve diverse applications · Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing · Both soft and hard computing approaches at great length in relation to major image processing tasks · The direction and development of current and future research in many areas of image processing · A comprehensive bibliography for additional research (integrated within the framework of the book) This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.