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Image Enhancement Method using Canny Algorithm based on Curvelet Transform

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(4), pp.51-56
  • DOI : 10.9708/jksci.2018.23.04.051
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : April 3, 2018
  • Accepted : April 10, 2018
  • Published : April 30, 2018

Byeong-Cheol Mun 1

1한국폴리텍 특성화대학 항공캠퍼스

Accredited

ABSTRACT

This paper proposes the efficient preprocessing method based on curvelet transform for edge enhancement in image. The propose method is generated the edge map by using the Canny algorithm to wavelet transform, which is the sub-step of the curvelet transform. In order to improve the part of edge feature, the selective sharpening according to the generate edge map is applied. In experimental result, the propose method achieves that the enhancement of edge feature is better than conventional methods. This leads that peak to signal noise ratio, edge intensity are improvement on average about 1.92, 1.12dB respectively.

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