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An Adaptive Watermark Scheme Based on Contourlet Transform
2008 International Symposium on Computer Science and Computational Technology, 2008Based on the convergence and stability of the new mean shift fast algorithm, an adaptive watermark algorithm in contourlet domain based on mean shift texture features clustering is proposed in this paper. Through the texture recognition method based on gray co-occurrence matrix, watermark is embedded into the coefficients in contourlet domain, which ...
Wei Feng, Ming Tong, Hong-Bing Ji
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Neurocomputing, 2020
In this paper, an efficient image classification method is proposed that is based on the nonsubsampled contourlet transform (NSCT) of RGB-channel images and the convolutional neural network (CNN). First, the NSCT-based coefficients of natural RGB-channel
Lingling Fang +3 more
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In this paper, an efficient image classification method is proposed that is based on the nonsubsampled contourlet transform (NSCT) of RGB-channel images and the convolutional neural network (CNN). First, the NSCT-based coefficients of natural RGB-channel
Lingling Fang +3 more
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Image Enhancement Based on Nonsubsampled Contourlet Transform
2009 Fifth International Conference on Information Assurance and Security, 2009Based on nonsubsampled contourlet transform and image statistical property, an image enhancement method is presented. A noise variance estimate algorithm is given using nonsubsampled Laplace Pyramid decompose, and a wake edge enhancement algorithm using directional local neighborhood is proposed.
Yuxin Ma, Jiancang Xie, Jungang Luo
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A Steganalysis Method Based on Contourlet Transform Coefficients
2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2008Steganalysis is a technique to detect the presence of hidden embedded information in a given data. Each steganalyzer is composed of feature extraction and feature classification components. Using features that are more sensitive to data hiding yields higher success in steganalysis.
Hedieh Sajedi, Mansour Jamzad
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Image Denoising with Contourlet Transform Based on PCA
2008 International Symposium on Computer Science and Computational Technology, 2008This paper adopted multiscale geometry method, distilled the principal component from the image after Contourlet transform, lowered the dimension of the high frequency subdomains, eliminated the noise by minimum variance cost function. The entire arithmetic without estimate noise, compared to Contourlet hard threshod denoising and wavelet hard threshod
Lin-li Sun, Yan Li, Jianming Zheng
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Journal of Information Security and Applications, 2019
In this paper, using singular value decomposition (SVD) and sharp frequency localized contourlet transform (SFLCT) a secure and robust image watermarking procedure is introduced.
Esmaeil Najafi, K. Loukhaoukha
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In this paper, using singular value decomposition (SVD) and sharp frequency localized contourlet transform (SFLCT) a secure and robust image watermarking procedure is introduced.
Esmaeil Najafi, K. Loukhaoukha
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International Conference on Electrical and Control Engineering, 2020
Automated visual identification of Benign and Malignant breast tumors even with ultrasound (US) B-Mode image is still an open area of research. This paper presents parametric image-based approach to classify and detect benign and malignant breast tumors ...
S. Kabir +3 more
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Automated visual identification of Benign and Malignant breast tumors even with ultrasound (US) B-Mode image is still an open area of research. This paper presents parametric image-based approach to classify and detect benign and malignant breast tumors ...
S. Kabir +3 more
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Nonsubsampled contourlet transform: construction and application in enhancement
IEEE International Conference on Image Processing 2005, 2005We present the nonsubsampled contourlet transform and its application in image enhancement. The nonsubsampled contourlet transform is built upon nonsubsampled pyramids and nonsubsampled directional filter banks and provides a shift-invariant directional multiresolution image representation.
Jianping Zhou 0001 +2 more
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Adaptive image steganography using contourlet transform
Journal of Electronic Imaging, 2013Abstract. This work presents adaptive image steganography meth-ods which locate suitable regions for embedding by contourlet trans-form, while embedded message bits are carried in discrete cosinetransform coefficients. The first proposed method utilizes contourlettransform coefficients to select contour regions of the image.
Mohammad Fakhredanesh +2 more
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Personal Identification Using Palmprint and Contourlet Transform
2008Palmprint based personal verification has gained preference overother biometric modalities due to its ease of acquisition, highuser acceptance and reliability. This paper presents a newpalmprint based identification approach which uses the texturalinformation available on the palmprint by employing the ContourletTransform (CT).
Atif Bin Mansoor +4 more
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