Journal ArticleDOI
The Translation Invariant Wavelet-based Contourlet Transform for Image Denoising
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TLDR
The performance of the proposed approach substantially surpasses that of previously wavelets methods using the cycle spinning both visually and in terms of the PSNR values, especially for the images that include mostly fine textures and contours.Abstract:
A new method of image denoising using wavelet-based contourlet transform (WBCT) is proposed. Due to the lack of translation invariance of WBCT, image denoising by means of WBCT would lead to Gibbs-like phenomena. In the paper,cycle spinning-based technique is applied to develop translation invariant WBCT denoising scheme. Many simulation experiments with images contaminated by additive white Gaussian noise demonstrate that the performance of the proposed approach substantially surpasses that of previously wavelets methods using the cycle spinning both visually and in terms of the PSNR values, especially for the images that include mostly fine textures and contours.read more
Citations
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Journal ArticleDOI
Hybrid methods for feature extraction for breast masses classification
TL;DR: The performance of proposed methods ST-G LCM, GLCM, Wavelet-CT1 and Contourlet (CT2) outperform all current existing feature extraction methods in terms of AUC measure.
Journal ArticleDOI
Fully automated scheme for computer-aided detection and breast cancer diagnosis using digitised mammograms
TL;DR: A new fully automated computer-aided diagnosis system for breast cancer diagnosis with high-accuracy and low-computational requirements is proposed and a new similarity-based learning algorithm, called Q, is investigated for benign-malignant classification.
Journal ArticleDOI
Two new methods based on contourlet transform for despeckling synthetic aperture radar images
TL;DR: Experimental results carried out on both artificially speckled images and the true SAR images show that the two proposed methods outperform other approaches via two point of views, speckle noise reduction and image quality preservation.
Journal ArticleDOI
Efficient intrusion detection scheme based on SVM
Guangping Zhou,Anup Shrestha +1 more
TL;DR: Experimental results show that SVMs based on IHS have a high prediction accuracy which can perform prediction and classification of network intrusion detection and assist in guarding against network intrusion.
Journal ArticleDOI
Efficient Unconstrained Iris Recognition System Based on CCT-Like Mask Filter Bank
TL;DR: It is shown that the proposed personal identification method based on unconstrained iris recognition has encouraging performance in terms of high recognition rates and a reduced number of elements of the feature vector.
References
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Book
A wavelet tour of signal processing
TL;DR: An introduction to a Transient World and an Approximation Tour of Wavelet Packet and Local Cosine Bases.
Journal ArticleDOI
The contourlet transform: an efficient directional multiresolution image representation
Minh N. Do,Martin Vetterli +1 more
TL;DR: A "true" two-dimensional transform that can capture the intrinsic geometrical structure that is key in visual information is pursued and it is shown that with parabolic scaling and sufficient directional vanishing moments, contourlets achieve the optimal approximation rate for piecewise smooth functions with discontinuities along twice continuously differentiable curves.
Proceedings ArticleDOI
Contourlets: a directional multiresolution image representation
Minh N. Do,Martin Vetterli +1 more
TL;DR: The contourlet transform can be designed to satisfy the anisotropy scaling relation for curves, and thus offers a fast and structured curvelet-like decomposition, and provides a sparse representation for two-dimensional piecewise smooth signals resembling images.
Proceedings ArticleDOI
Wavelet-based contourlet transform and its application to image coding
R. Eslami,Hayder Radha +1 more
TL;DR: A new family of geometrical image transforms that decompose images both radially and angularly are proposed, and a new image coding scheme based on the proposed transform, the wavelet-based contourlet transform (WBCT), is proposed using a new contours-based set partitioning in hierarchical trees (CSPIHT) algorithm that provides an embedded code.
Journal ArticleDOI
Despeckling of TerraSAR-X Data Using Second-Generation Wavelets
TL;DR: The experimental results showed that the combination of Bayesian inference and bandelet transform outperforms the contourlet-based despeckling algorithm using synthetic data and objective measurements.