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Shearlet is a new effective signal representation tool in many image applications. A novel image denoising scheme based on Shearlet transform and particle swarm optimization is proposed in this paper. Experiments show that the proposed scheme can remove the pseudo-Gibbs artifacts and image noise effectively. Besides, it outperforms the existing schemes in regard of both the peak-signal-to-noise-ratio...
Threshold selection is the critical issue in image denoising. This paper deal with a new multiscale directional representation called the shearlet transform that has shown to represent specific classes of images with distributed discontinuities optimally. Techniques based on this transform for denoising using an efficient adaptive shrinkage threshold are presented. The shearlet transform not only...
The improvement of video coding performances is depended on how to improve the coding performances of motion compensation prediction error information, which is also called Displaced Frame Difference (DFD). In this paper, a novel tree structure multiscale ridgelet dictionary based multi-atoms matching pursuit DFD coding scheme is proposed. Firstly, the DFD is sparsely decomposed by multiscale ridgelet...
The cm-rep (continuous medial representation) is a powerful shape representation method that models a 3D object by describing its medial axis (skeleton) and boundary as continuous parametric manifolds. It provides parametrization of the entire interior of the object, which can be used for combined statistical analysis of shape and appearance. This paper extends the cm-rep to more complex shapes with...
The continuous medial representation (cm-rep) is an approach that makes it possible to model, normalize, and analyze anatomical structures on the basis of medial geometry. Having recently presented a partial differential equation (PDE)-based approach for 3-D cm-rep modeling [1], here we present an equivalent 2-D approach that involves solving an ordinary differential equation. This paper derives a...
A method using DT-CWT spectral histograms and support vector machine (SVM) for face detection is proposed in this paper. In this face detection method, dual tree complex wavelets transform (DT-CWT) filter is used instead of Gabor filter. DT-CWT is a novel wavelet transform recently studied, which provides good directional selectivity in six different fixed orientations at different scales. It has...
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