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  • 标题:Image Processing: A Review
  • 本地全文:下载
  • 作者:Sonia Sharma ; Hardeep Singh
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2017
  • 卷号:8
  • 期号:2
  • 页码:91-93
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:This paper presents an approach to the point to point processing of digital images using parallel computing, particularly for grayscale, brightening, darkening, and thresh-holding and contrast change. The point to point technique applies a transformation to each pixel on image concurrently rather than sequentially. This approach used CUDA as parallel programming tool on a GPU in order to take advantage of all available cores. Preliminary results show that CUDA obtains better results in most of the used filters. Except in the negative filter with lower resolutions images Open CV obtained better ones, but using images in high resolutions CUDA performance is better.
  • 关键词:Image Processing;Parallel Computing;CUDA;OpenCV; Taverna
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