In this paper we study the nonsubsampled contourlet transform. We address the corresponding filter design problem using the Mc-Clellan transformation. We show how zeroes can be imposed in the filters so that the iterated structure produces regular basis functions. The proposed design framework yields filters that can be implemented efficiently through a lifting factorization. We apply the constructed transform in image noise removal where the results obtained are comparable to the state-of-the art, being superior in some cases.
Nonsubsampled contourilet transform: filter design and applications in denoising
2005-01-01
546955 byte
Conference paper
Electronic Resource
English
Nonsubsampled Contourlet Transform: Filter Design and Applications in Denoising
British Library Conference Proceedings | 2005
|Nonsubsampled Contourlet Transform: Construction and Application in Enhancement
British Library Conference Proceedings | 2005
|British Library Online Contents | 2009
|Image fusion with nonsubsampled contourlet transform and sparse representation
British Library Online Contents | 2013
|