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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...
This paper address issues that arise in copyright protection systems of digital images, which employ blind watermark verification structures in the curvelet domain. First, we observe that statistical distribution with heavy algebraic tails, such as the alpha-stable family, are in many cases more accurate modeling tools for the curvelet coefficients than families with exponential tails such as generalized...
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...
A multiplicative spread spectrum watermarking technique in curvelet domain is presented. Watermarked curvelet coefficients are modeled using generalized Gaussian distribution, Laplacian distribution and Cauchy model. Watermarking detectors are designed employing locally most powerful (LMP) approach. The detection performances of three detectors are analyzed. Experimental results show LMP detector...
We present a novel 2-D directional adaptive red-black wavelet transform (DA-RBWT). This approach uses three or four pixels to adaptively predict the value of middle pixel according to the correlation among its neighboring pixels. Compared to red-black wavelet transform (RBWT) on a rectangular grid, DA-RBWT shows more directions for its adaptability to local image features, especially for the regions...
In this paper, directional adaptive red-black wavelet transform (DA-RBWT) is proposed. Instead of the conventional red-black wavelet transform (RBWT) for directional prediction with fewer directions, DA-RBWT use three or four pixel to adaptively predict the value of middle pixel according to the correlation among its neighboring pixels. Due to its adaptability to local image features, the DA-RBWT...
The translation-invariant circular symmetric contourlet transform (TICSCT) is a multiscale, multi direction and shift-invariant over complete transform. The paper proposes a blind watermarking algorithm in the TICSCT domain. A simple but effective human visual model in TICSCT domain is described. By modelling watermarking as a communication process. The experimentations show that this domain has higher...
An adaptive blind watermarking algorithm based on image content and ridgelet transform is proposed. Firstly, the image is divided into three different feature regions: smooth, edge and texture. And then, due to the sparse representation of ridgelet transform for image features, the positions of important vision information where watermark should be embedded can be found out. The watermark is embedded...
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