Image similarity comparison using dual-tree wavelet transform

  • Authors:
  • Mong-Shu Lee;Li-yu Liu;Fu-Sen Lin

  • Affiliations:
  • Department of Computer Science, National Taiwan Ocean University, Keelung, Taiwan, R.O.C;Department of Computer Science, National Taiwan Ocean University, Keelung, Taiwan, R.O.C;Department of Computer Science, National Taiwan Ocean University, Keelung, Taiwan, R.O.C

  • Venue:
  • PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
  • Year:
  • 2006

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Abstract

An image similarity comparison method for images with minor distortions is introduced in this paper. The proposed image similarity metrics is based on a new method to measure structure similarity for image quality comparisons. We make use of the fact that Dual-Tree wavelet Transform (DTWT) can provide direction selectivity and keep the structure features between the original and images with minor distortions. Despite the simplicity of our method, our experimental results demonstrate the effectiveness of the proposed method.