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 More computer ebooks Multimedia Multidimensional Signal Image and Video Processing and Coding
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 This paragraph and the next provide detailed chapter information. Starting out the first part, Chapter 1 introduces 2-D systems and signals along with the stability concept, Fourier transform and spatial convolution. Chapter 2 covers sampling and considers both rectangular and general regular sampling patterns, e.g., diamond and hexagonal sample patterns. Chapter 3 introduces 2-D difference equations and the Z transform including recursive filter stability theorems. Chapter 4 treats the discrete Fourier and cosine transforms along with their fast algorithms and 2-D sectioned-convolution. Also we introduce the ideal subbandlwavelet
transform (SWT) here, postponing their design problem to the next chapter. Chapter 5 covers 2-D filter design, mainly through the separable and circular window method, but also introducing the problem of 2-D recursive filter design, along with some coverage of general or fully recursive filters.The second part of the book, the part on image and video processing and coding starts out with Chapter 6, which presents basic concepts in image sensing, display, and human visual perception. Here, we also introduce the basic image processing operators: box, Prewitt, and Sobel filters. Chapter 7 covers image estimation and restoration, including adaptive or inhomogeneous approaches, and concludes with a section on image- and blur-model parameter identification via the EM algorithm. We also include material on compound Gauss-Markov models and their MAP estimation via simulated annealing. Chapter 8 covers image compression built up from the basic concepts of transform, scalar and vector quantization, and variable-length coding. We cover basic DCT coders and also include material on fully embedded coders such as EZW, SPIHT, and EZBC and introduce the main concepts of the JPEG 2000 standard. Then Chapter 9 on three-dimensional (3-D) and spatiotemporal or multidimensional signal processing (MDSP) extends the 2-D concepts of Chapters 1 to 5 to the 3-D case of video. Also included here are rational system models and spatiotemporal Markov models culminating in a spatiotemporal reduced-update Kalman filter. Next, Chapter 10 studies interframe estimationlrestoration and introduces motion estimation and the technique of motion compensation. This technique is then applied to motioncompensated Kalman filtering, frame-rate change, and deinterlacing. The chapter ends with the Bayesian approach to joint motion estimation and segmentation. Chapter 11 covers video compression with both hybrid and spatiotemporal transform approaches, and includes coverage of video coding standards such as MPEG 2 and H.264lAVC. Also presented are highly scalable coders based on the motioncompensated compensated temporal filter (MCTF). Finally, Chapter 12 is devoted to video on networks, first introducing network fundamentals and then presenting some robust methods for video transmission over networks. Download free ebook for multimedia: Multidimensional Signal Image and Video Processing and Coding
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