Contourlet-based error-amended sharp edge scheme for image zooming

  • Authors:

  • Nian Cai;Haiyuan Zhang;Nan Zhang;Fangzhen Li

  • Affiliations:

  • School of Information Engineering, Guangdong University of Technology, Guangzhou, P.R. China;School of Information Engineering, Guangdong University of Technology, Guangzhou, P.R. China;School of Information Engineering, Guangdong University of Technology, Guangzhou, P.R. China;Department of Computer Science, Shandong Economic University, Ji'nan, China

  • Venue:
  • AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
  • Year:
  • 2011

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Abstract

A novel image interpolation method is proposed by combining the error-amended sharp edges scheme with the contourlet transformation. The proposed method incorporates the error-amended part into the bilinear interpolation algorithm. Directions of the interpolation points are determined by the Sobel operator, then we get a preliminary zoomed image. A new interpolated image is obtained when the low-frequency components of the preliminary zoomed image are replaced by the enhanced amplitude of the original image. Finally the high-resolution image is achieved by the inverse contourlet transform of the new interpolated image. The experimental results indicate that, compared with traditional image zooming methods, the proposed method can get clearer and sharper edges, especially for the original images having more details.