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Multidimensional Signal, Image, and Video Processing and Coding, Second Edition

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This is a textbook for a first- or second-year graduate course for electrical and computer engineering (ECE) students in the area of digital image and video processing and coding. The course might be called Digital Image and Video Processing (DIVP) or some such, and has its heritage in the signal processing and communications areas of ECE. The relevant image (and video) processing problems can be categorized as image-in/image-out, rather than image-in/analysis-out types of problems. Though for this second edition, we have broadened our coverage by adding introductory material on image analysis.

The required background is an undergraduate digital signal processing (DSP) course and a course in probability. In addition, some knowledge of random processes and information theory is required for some sections. So in this second edition, we have added introductory material on random processes and information theory in chapter appendices. In addition to its role as a graduate text, the book is also suitable for self-study by graduate engineers with a communications and signal processing background.

The DIVP course at Rensselaer Polytechnic Institute has been offered for the last 20 years, now on an alternate year basis, having started as a course in multidimensional DSP. Over the years we brought in an emphasis first on image processing and coding, and then on video, and finally, some coverage of network transmission of video. The book, as well as the DIVP course, starts out with two-dimensional (2-D) signal processing theory, including 2-D systems, partial difference equations, Fourier and Z-transforms, filter stability, discrete transforms such as DFT and DCT and their fast algorithms, ending up with 2-D or spatial filter design.We also introduce the subband/ wavelet transform (SWT) here, along with coverage of the DFT and DCT. This material is contained in the first five chapters and constitutes the first part of the book.

However, there is also a later chapter on 3-D and spatiotemporal signal processing, strategically positioned between the image and the video processing chapters. The second part of the book, comprising the remaining seven chapters, covers image and video processing and coding, along with the introduction to video transmission on networks. We start out with image perception and sensing, followed by basic filters for image processing, and then treat image enhancement and image analysis. This is followed by four individual chapters on estimation/restoration and source coding, first for images and then for video. The final chapter on network transmission summarizes basic networking concepts and then goes on to consider effects of packet loss and their amelioration.

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