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Parallel image processing

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  • 203 Seiten
  • 8 Lesestunden

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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.

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Parallel image processing, Thomas Bräunl

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Erscheinungsdatum
2001
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(Hardcover)
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