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Parallel image processing with one-dimensional DSP arrays
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DOI：10.1016/S0167-739X(99)00081-3.png)
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Abstract
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This paper describes a study of parallel image processing algorithms implemented on a one-dimensional DSP array. DSPs are developed for computationally intensive signal processing operations. Recently introduced parallel DSPs can be used for all levels of image processing operations and they provide easy development of a parallel system. In addition, due to the computing power delivered by these processors, we can employ coarse grain parallelism instead of the traditional fine-grain parallelism. Modularity, expandability and easy programming are other advantages of parallel DSPs. In this paper, parallel implementation of some selected image processing algorithms is described and performance results are presented. (C) 2000 Elsevier Science B.V. All rights reserved.
Keywords:
parallel architectures
computer vision
image processing
parallel DSP
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