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Processing Large-Scale Images on Acel6k Using Discrete Wavelet Transform

Journal Name:

  • Istanbul University Journal of Electrical & Electronics Engineering

Publication Year:

  • 2011

Key Words:

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Image processing has crucial effects in many fıelds like biomedical applications, traffic control, security, satellite systems and so on. Because of its improving importance, various methods are proposed for increasing computation speed and reliability. Cellular Neural Networks - Universal Machine (CNN-UM) is a promising hardware implementation for generating rapid results. In this study, we have implemented discrete wavelet transform (DWT) on input images in order to improve accuracy of edge detection applications on ACE16k which is one of the analog processors handling 128x128 images. Besides, DWTgave us an opportunity to process large-scale images. At the end of the study it is shown that DWT provides appreciable contribution to edge detection results.
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  • 2
1375-1378
  • English

REFERENCES

References: 

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Selcuk Sevgen is currently an Assistant Professor at the Department of Computer Engineering in Istanbul University. He received his M.Sc. and Ph.D. degree in same department in 2003 and in 2009, respectively. His main interests are Neural Networks,
CNNs.

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