Digital Video Processing: Edition 2

· Prentice Hall
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Izilinganiso nezibuyekezo aziqinisekisiwe  Funda Kabanzi

Mayelana nale ebook

Over the years, thousands of engineering students and professionals relied on Digital Video Processing as the definitive, in-depth guide to digital image and video processing technology. Now, Dr. A. Murat Tekalp has completely revamped the first edition to reflect today’s technologies, techniques, algorithms, and trends.

Digital Video Processing, Second Edition, reflects important advances in image processing, computer vision, and video compression, including new applications such as digital cinema, ultra-high-resolution video, and 3D video.

This edition offers rigorous, comprehensive, balanced, and quantitative coverage of image filtering, motion estimation, tracking, segmentation, video filtering, and compression. Now organized and presented as a true tutorial, it contains updated problem sets and new MATLAB projects in every chapter.

Coverage includes

  • Multi-dimensional signals/systems: transforms, sampling, and lattice conversion
  • Digital images and video: human vision, analog/digital video, and video quality
  • Image filtering: gradient estimation, edge detection, scaling, multi-resolution representations, enhancement, de-noising, and restoration
  • Motion estimation: image formation; motion models; differential, matching, optimization, and transform-domain methods; and 3D motion and shape estimation
  • Video segmentation: color and motion segmentation, change detection, shot boundary detection, video matting, video tracking, and performance evaluation
  • Multi-frame filtering: motion-compensated filtering, multi-frame standards conversion, multi-frame noise filtering, restoration, and super-resolution
  • Image compression: lossless compression, JPEG, wavelets, and JPEG2000
  • Video compression: early standards, ITU-T H.264/MPEG-4 AVC, HEVC, Scalable Video Compression, and stereo/multi-view approaches

Mayelana nomlobi

A. Murat Tekalp is a Professor at Koc University, Istanbul, Turkey, and is a Fellow of IEEE and a member of Academia Europaea and Turkish Academy of Sciences. He received a Ph.D. degree in electrical, computer, and systems engineering from Rensselaer Polytechnic Institute (RPI), Troy, New York, in 1984. He was with the Eastman Kodak Company, Rochester, New York, from 1984 to 1987, and was a professor at the University of Rochester, Rochester, New York, from 1987 to 2005, where he was named Distinguished University Professor. His research interests are in the area of digital image and video processing, image and video compression, and video networking.

Professor Tekalp received the TUBITAK Science Award (highest scientific award in Turkey) in 2004. He is a former Chair of the IEEE Technical Committee on Image and Multidimensional Signal Processing, and a Founding Member of IEEE Technical Committee on Multimedia Signal Processing. He was appointed as the Technical Program Co-Chair for IEEE ICASSP 2000 in Istanbul, Turkey; the General Chair of the IEEE International Conference on Image Processing (ICIP) at Rochester, New York, in 2002; and Technical Program Co-Chair of EUSIPCO 2005 in Antalya, Turkey.

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