Fast multiscale directional filter bank with applications to texture retrieval

K. O. Cheng, Ngai Fong Law, W. C. Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The contourlet transform has emerged recently as an efficient directional multiresolution image decomposition. In order to enhance its distinguishing power for texture images, the high frequency band is split by half and results in the multiscale directional filter bank (MDFB). However, this raises the computational complexity considerably because an extra set of scale and directional decomposition is required to perform on the full image size. In this paper, we develop a new framework for the MDFB, in which directional decomposition is performed prior to the scale decomposition in the first two scales. Experiments show that 30.6%-33.2% saving in computational time can be achieved. Meanwhile, it has the same flexibility in frequency partitioning and similar texture retrieval performance as the original algorithm of the MDFB.
Original languageEnglish
Title of host publicationFourth International Conference on Information Technology and Applications, ICITA 2007
Pages236-241
Number of pages6
Publication statusPublished - 3 Dec 2007
Event4th International Conference on Information Technology and Applications, ICITA 2007 - Harbin, China
Duration: 15 Jan 200718 Jan 2007

Conference

Conference4th International Conference on Information Technology and Applications, ICITA 2007
CountryChina
CityHarbin
Period15/01/0718/01/07

Keywords

  • Fast algorithm
  • Multiscale directional Alter bank
  • Texture retrieval

ASJC Scopus subject areas

  • Computer Science(all)

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