Results 171 to 180 of about 5,751 (196)
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Curvelet Transform for Image Authentication

2006
In this paper, we propose a new image authentication algorithm using curvelet transform. In our algorithm, we apply ridgelet transform to each block which is subbanded from the image after wavelet transform. Experimental results demonstrate this algorithm has good property to localize tampering, and robust to JPEG ...
Jianping Shi, Zhengjun Zhai
openaire   +1 more source

3D face identification using Curvelet transform

2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2013
We investigate the ability of Curvelet transform to extract robust features from 3D faces under different facial expressions and pose variations. We also investigate the contribution of fusing 3D and 2D data to achieve multimodal face identification using Curvelet features to describe semi-rigid regions.
S. Elaiwat   +3 more
openaire   +1 more source

Human detection based on Curvelet transform

2011 International Conference on Multimedia Technology, 2011
A method in Curvelet transformation for human detection is proposed in this paper. First, the curvelet coefficient was obtained by conducting the second curvelet transform for images. Then several statistical characteristics were computed from each sub-band coefficient. Finally, according the possibilities of the statistical features chosen by AdaBoost
null Hong Han   +2 more
openaire   +1 more source

Adaptive Subtraction Using Complex Curvelet Transforms

70th EAGE Conference and Exhibition incorporating SPE EUROPEC 2008, 2008
This paper proposes a complex curvelet transform-based algorithm to adaptively subtract from seismic data those noise for which an approximate template is available. The complex curvelet transform decomposes a geophysical dataset in terms of small reflector pieces, with each piece having a different frequency, location, and direction. The properties of
R. Neelamani, A. Baumstein, W. S. Ross
openaire   +1 more source

Digital image hiding using curvelet transform

2011 IEEE International Conference on Computer Science and Automation Engineering, 2011
This paper presents a digital image hiding technology by using the curvelet transform. Firstly, apply Arnold transform to original image; Secondly, apply curvelet Transform to the original image and the open image, gaining their curvelet coefficients; Thirdly, interpolate their curvelet coefficients; Finally, reconstruct the image by using Inverse ...
openaire   +1 more source

Boon and Bane of Curvelet Transform

2010
Candes and Donoho introduced a new system of multiresolution analysis called the curvelet transform. Curvelets take the form of basis elements, which exhibit a very high directional sensitivity and are highly anisotropic. In this paper, we applied the curvelet transform, to generate Tamil OCR, to detect melanoma from microscopic images and to develop a
G. Geetha   +5 more
openaire   +1 more source

Digital Curvelet Transform for Palmprint Recognition

2004
In this paper, we present a new feature extraction method for palmprint recognition The digital curvelet transform is revised here and used to extract the palmprint features In our algorithm, we use the discrete Meyer wavelet transform to replace the “a trous” transform, then apply the ridgelet transform to each block which is subbanded after the ...
Kaifeng Dong, Guiyu Feng, Dewen Hu
openaire   +1 more source

The Curvelet Transform For Ground-Roll Suppression

11th International Congress of the Brazilian Geophysical Society, 2009
Ariane Jevaux Souza*   +1 more
openaire   +1 more source

Remote sensing image fusion using the curvelet transform

Information Fusion, 2007
Andrea Garzelli   +2 more
exaly  

Gray and color image contrast enhancement by the curvelet transform

IEEE Transactions on Image Processing, 2003
Jean-Luc Starck, Fionn Murtagh
exaly  

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