Multivariate Statistical Models for Image Denoising in the Wavelet Domain
International Journal of Computer Vision
Contourlet based lossy image coder with edge preserving
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
A Contourlet-Based Method for Wavelet Neural Network Automatic Target Recognition
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Off line signature recognition based on wavelet, curvelet and contourlet transforms
ISCGAV'08 Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision
Implementational aspects of the contourlet filter bank and application in image coding
EURASIP Journal on Advances in Signal Processing
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
A New Hybrid DCT and Contourlet Transform Based JPEG Image Steganalysis Technique
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
A shearlet approach to edge analysis and detection
IEEE Transactions on Image Processing
Video activity analysis based on 3D wavelet statistical properties
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
No-reference image quality assessment in contourlet domain
Neurocomputing
On hybrid directional transform-based intra-band image coding
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
A novel face detection method based on contourlet features
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Image denoising in contourlet domain based on a normal inverse Gaussian prior
Digital Signal Processing
Adaptive directional wavelet transform based on directional prefiltering
IEEE Transactions on Image Processing
Contourlet-based image watermarking using optimum detector in a noisy environment
IEEE Transactions on Image Processing
Critically sampled composite wavelets
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Minimum classification error learning for sequential data in the wavelet domain
Pattern Recognition
Contourlet domain multiband deblurring based on color correlation for fluid lens cameras
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
CBS: Contourlet-Based Steganalysis Method
Journal of Signal Processing Systems
Contourlet filter design based on chebyshev best uniform approximation
EURASIP Journal on Advances in Signal Processing
A contourlet-based image watermarking scheme with high resistance to removal and geometrical attacks
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Contourlet-based texture classification with product bernoulli distributions
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Contourlet-based texture retrieval using a mixture of generalized gaussian distributions
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Contourlet-based error-amended sharp edge scheme for image zooming
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Journal of Mathematical Imaging and Vision
Noise-robust edge detector combining isotropic and anisotropic Gaussian kernels
Pattern Recognition
Adaptive Compressed Image Sensing Using Dictionaries
SIAM Journal on Imaging Sciences
Using anisotropic bivariate threshold function for image denoising in NSCT domain
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A new image denoising method based on shearlet shrinkage and improved total variation
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Statistical contourlet subband characterization for texture image retrieval
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Multiscale texture segmentation via a contourlet contextual hidden Markov model
Digital Signal Processing
Application of 3D-wavelet statistics to video analysis
Multimedia Tools and Applications
Journal of Approximation Theory
A highly robust two-stage Contourlet-based digital image watermarking method
Image Communication
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The contourlet transform is a new two-dimensional extension of the wavelet transform using multiscale and directional filter banks. The contourlet expansion is composed of basis images oriented at various directions in multiple scales, with flexible aspect ratios. Given this rich set of basis images, the contourlet transform effectively captures smooth contours that are the dominant feature in natural images. We begin with a detailed study on the statistics of the contourlet coefficients of natural images: using histograms to estimate the marginal and joint distributions and mutual information to measure the dependencies between coefficients. This study reveals the highly non-Gaussian marginal statistics and strong interlocation, interscale, and interdirection dependencies of contourlet coefficients. We also find that conditioned on the magnitudes of their generalized neighborhood coefficients, contourlet coefficients can be approximately modeled as Gaussian random variables. Based on these findings, we model contourlet coefficients using a hidden Markov tree (HMT) model with Gaussian mixtures that can capture all interscale, interdirection, and interlocation dependencies. We present experimental results using this model in image denoising and texture retrieval applications. In denoising, the contourlet HMT outperforms other wavelet methods in terms of visual quality, especially around edges. In texture retrieval, it shows improvements in performance for various oriented textures.