FDCT on the Edge of the Image Detail Enhancement Improvement

Abstract:

Image edge details contains a rich amount of informations, enhancing edge details is the key of image post-processing. Traditional enhancement methods often lead to edge detail information lost. Fortunately, we find the curvelet transform good performance to reflect the detail information in the edge. In this paper, we add Wrap step to USFFT algorithm based on the Fast Discrete Curvelet Transform (FDCT), and adopt cyclic shift method and Er iteration. At the same time, we adopt adaptive threshold method. In order to get the objective evaluation result, comparing the wavelet algorithm and FDCT to the proposed method, we select peak signal-to-noise ratio. Experimental results show that the proposed method is not only superior to wavelet method, but also superior to single FDCT in the edge and detail information preservation.

• Periodical: Applied Mechanics and Materials (Volume 610)
• Pages: 443-448
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.610.443
• Online since: August 2014
• Authors: Yong Zhang, Yan Qian*
• Keywords: Adaptive Threshold, Cyclic Shift, FDCT, USFFT, Wrap

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