Design and Application of All Phase Pyramidal Directional Filter Bank

Based on the essence of contourlet and all phase DCT sequency filtering theory, a novel all phase pyramidal directional filter bank is developed and applied to image denoising. In all phase datum space, pure 2-D directional filters are designed directly from its spectrum characteristics, so the directional filter banks can be constructed flexibly without rotation and resampling of image so as to preserve more image details and decrease the computational complexity. In addition, with the all phase directional filter bank proposed, horizontal and vertical directional subbands are divided, which can not be obtained by contourlet and other directional filter banks. It is shown in our experimental results that the proposed approach is superior to both wavelet and contourlet for most of the images and has especially better visual quality for images with many horizontal and vertical edges.

[1]  Yang Jia-hong Texture Image Retrieval Based on Contourlet Transform Using Generalized Gaussian Model , 2007 .

[2]  Hou Zheng-xin Algorithm for All Phase Walsh Interpolation , 2007 .

[3]  Minh N. Do,et al.  The Nonsubsampled Contourlet Transform: Theory, Design, and Applications , 2006, IEEE Transactions on Image Processing.

[4]  Minh N. Do,et al.  Ieee Transactions on Image Processing the Contourlet Transform: an Efficient Directional Multiresolution Image Representation , 2022 .

[5]  Minh N. Do,et al.  Nonsubsampled contourilet transform: filter design and applications in denoising , 2005, IEEE International Conference on Image Processing 2005.

[6]  Minh N. Do,et al.  Nonsubsampled contourlet transform: construction and application in enhancement , 2005, IEEE International Conference on Image Processing 2005.

[7]  Zhengxin Hou,et al.  The application of the all phase contourlet on image denoising , 2005, International Conference on Space Information Technology.

[8]  Mark J. T. Smith,et al.  Improved structures of maximally decimated directional filter Banks for spatial image analysis , 2004, IEEE Transactions on Image Processing.

[9]  Yang Xi Design and Implementation of All Phase DFT Digital Filter , 2003 .

[10]  Emmanuel J. Candès,et al.  The curvelet transform for image denoising , 2002, IEEE Trans. Image Process..

[11]  Martin Vetterli,et al.  Spatially adaptive wavelet thresholding with context modeling for image denoising , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[12]  Mark J. T. Smith,et al.  A filter bank for the directional decomposition of images: theory and design , 1992, IEEE Trans. Signal Process..

[13]  Edward H. Adelson,et al.  The Laplacian Pyramid as a Compact Image Code , 1983, IEEE Trans. Commun..