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Parallel Image Processing (Paperback, Softcover reprint of the original 1st ed. 2001): T. Braunl, S. Feyrer, W. Rapf, M.... Parallel Image Processing (Paperback, Softcover reprint of the original 1st ed. 2001)
T. Braunl, S. Feyrer, W. Rapf, M. Reinhardt
R1,557 Discovery Miles 15 570 Ships in 10 - 15 working days

This book introduces the area of image processing and data-parallel processing. It covers a number of standard algorithms in image processing and describes their parallel implementation. The programming language chosen for all examples is a structured parallel programming language which is ideal for educational purposes. It has a number of advantages over C, and since all image processing tasks are inherently parallel, using a parallel language for presentation actually simplifies the subject matter. This results in shorter source codes and a better understanding. Sample programs and a free compiler are available on an accompanying Web site.

Parallel Image Processing (Hardcover, 2001 ed.): T. Braunl, S. Feyrer, W. Rapf, M. Reinhardt Parallel Image Processing (Hardcover, 2001 ed.)
T. Braunl, S. Feyrer, W. Rapf, M. Reinhardt
R1,688 Discovery Miles 16 880 Ships in 10 - 15 working days

This book serves as a general introduction to the area of image processing as well as to data-parallel processing. It covers a number of standard algorithms in image processing and describes their parallel implementation in a practical "hands-on" approach: Each algorithm is accompanied by numerous diagrams and program source code. Combining text, graphics, and programs is a new approach in presenting the subject matter, which will help students to better grasp the concepts - irrespective of the programming language used.The programming language chosen for all examples is a structured parallel programming language which is ideal for educational purposes. It has a number of advantages over C, and since all image processing tasks are inherently parallel, using a parallel language for presentation actually simplifies the subject matter, resulting in shorter source codes and better understanding. Sample programs and a free compiler are available on the Web.

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