Image and Video Coding Technique Based on Object Extraction

Image/Video compression is an area of research that has received considerable attention over the last few decades. Image and video data compression refers to a process in which the amount of data used to represent image and video is reduced to meet a bit rate requirement (below or at the most equal to the maximum available bit rate), while the quality of the reconstructed image or video satisfies a requirement for a certain application and complexity of computation involved is affordable for application. Image and video data compression has been found to be necessary in these important applications, because the huge amount of data involved in these and other applications usually greatly exceeds the capability of today’s hardware despite rapid advancements in the semiconductor, computer, and other related industries. The objective of this book is to develop an object-based coding framework built upon a family of the discrete cosine transform (DCT) and wavelet coding techniques for a variety of images and video scalable and nonscalable coding applications. The book is divided into two parts of coding techniques. One is object-based image coding; another is object-based video coding.

Walaa Mohamed Abd-Elhafiez, has been a Lecturer of Computer Science, Mathematical Department, Faculty of Science, Sohag University, Egypt. Her research interests include image segmentation, image enhancement, image coding, video coding and their applications in image processing.