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[DocumentsTextureImageRetrievalBasedonContourletTransformUsi

Description: Contourlet变换结合了不可分离的方向滤波组,具备小波所不能表达的多方向特性,能有效捕获自然图像的边缘轮廓信息。本文分析了图像ontourlet系数的统计特征,并利用广义高斯函数对各子带系数层进行建模。将此模型应用于基于VisTex的自建纹理图像库,采用矩匹配估计法,提取模型参数集,运用K2L距离计算图像间的相似度。对800幅纹理图像进行检索,本文方法比传统小波方法的平均检索查准率高出约2%到10%不等。实验结果表明,该方法改进了导向纹理的描述-Transform Contourlet inseparable combination of the direction of filtering group, have not expressed by wavelet multi-directional properties, can effectively capture the edge of natural image contour information. This paper analyzes the image ontourlet coefficient statistical characteristics, and take advantage of the generalized Gaussian function of the sub-band coefficient modeling layer. Based on this model was applied to the self-VisTex texture image database, using moment matching estimation method, extract the model parameters set, K2L use of distance-based similarity between images. Of 800 texture image retrieval, wavelet method than the traditional method of the average retrieval precision by about 2 to 10 range. Experimental results show that the method improves the texture-oriented description of
Platform: | Size: 198656 | Author: 焦亚民 | Hits:

[Special Effectscontourlet

Description: 纯contourlet变换,已对工具包进行了修改,使之在分解重构时能显示子带系数。-Pure contourlet transformation toolkit has been modified so that when displayed in the decomposition and reconstruction sub-band coefficients.
Platform: | Size: 193536 | Author: 刘灿 | Hits:

[Software EngineeringMultifocus-Image-Fusion-Based-on-NSCT

Description: Abstract—To overcome the difficulties of sub-band coefficients selection in multiscale transform domain-based image fusion and solve the problem of block effects suffered by spatial domain-based image fusion, this paper presents a novel hybrid multifocus image fusion method. First, the source multifocus images are decomposed using the nonsubsampled contourlet transform (NSCT). The low-frequency sub-band coefficients are fused by the sum-modified-Laplacian-based local visual contrast, whereas the high-frequency sub-band coefficients are fused by the local Log-Gabor energy. The initial fused image is subsequently reconstructed based on the inverse NSCT with the fused coefficients. Second, after analyzing the similarity between the previous fused image and the source images, the initial focus area detection map is obtained, which is used for achieving the decision map obtained by employing a mathematical morphology postprocessing technique. Finally, based on the decision
Platform: | Size: 2480128 | Author: senthil | Hits:

[Otherfinal-(1)

Description: both encryption and steganography technique was used to improve the security of both patient’s privacy and investigation images. Firstly, the patient’s data is XOR encrypted with the help of secret key in order to provide a first level security. Secondly, a Contourlet Transform was applied to the host medical image. After obtaining the transform coefficients of the image, the data embedding process was employed over the high frequency sub-band of the image. Next, the encrypted patient privacy data was embedded over the High frequency components of a transformed image using Exploiting Modification Direction (EMD) algorithm. Finally, the host medical image and the embedded patient privacy data were retrieved the stego-image and quality of the retrieved image is analysed.-both encryption and steganography technique was used to improve the security of both patient’s privacy and investigation images. Firstly, the patient’s data is XOR encrypted with the help of secret key in order to provide a first level security. Secondly, a Contourlet Transform was applied to the host medical image. After obtaining the transform coefficients of the image, the data embedding process was employed over the high frequency sub-band of the image. Next, the encrypted patient privacy data was embedded over the High frequency components of a transformed image using Exploiting Modification Direction (EMD) algorithm. Finally, the host medical image and the embedded patient privacy data were retrieved the stego-image and quality of the retrieved image is analysed.
Platform: | Size: 669696 | Author: karthikeyan | Hits:

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