Multiresolution image representation using combined 2-D and 1-D directional filter banks

  • Authors:

  • Yuichi Tanaka;Masaaki Ikehara;Truong Q. Nguyen

  • Affiliations:

  • Department of Information Science, Utsunomiya University, Utsunomiya, Tochigi and Department of Electronics and Electrical Engineering, Keio University, Yokohama, Kanagawa, Japan;Department of Electronics and Electrical Engineering, Keio University, Yokohama, Kanagawa, Japan;Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2009

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Abstract

In this paper, effective multiresolution image representations using a combination of 2-D filter bank (FB) and directional wavelet transform (WT) are presented. The proposed methods yield simple implementation and low computation costs compared to previous 1-D and 2-D FB combinations or adaptive directional WT methods. Furthermore, they are nonredundant transforms and realize quad-tree like multiresolution representations. In applications on nonlinear approximation, image coding, and denoising, the proposed filter banks show visual quality improvements and have higher PSNR than the conventional separable WT or the contourlet.