Description: contourlet变换源代码,图象处理方面有广泛应用空间-Contourlet Transform source code, image processing with extensive use of space Platform: |
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Author:duan |
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Description: Contourlet变换及其在图像处理中的应用研究-Contourlet Transform and Its Application in Image Processing Research Platform: |
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Author:candy |
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Description: Contourlet变换的实现源码。相关理论可参考:Do M N, Vetterli M. "The contourlet transform: an efficient directional multiresolution image representation" [J]. Image Processing, IEEE Transactions on, 2005, 14 (12): 2091-2106.-Transform realize Contourlet source. Relevant theory may refer to: Do MN, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation [J]. Image Processing, IEEE Transactions on, 2005, 14 (12): 2091-2106. Platform: |
Size: 70656 |
Author:Mordecai |
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Description: 运用contourlet变换和小波变换对图像进行去噪处理,并将二者的去噪效果通过PSNR进行对比.文中包含去噪.m文件和求PSNR的.m文件.程序中注释详细,值得参考.通过测试的代码.-Use Contourlet transform and wavelet transform for image denoising treatment, and the denoising effect of the adoption of both PSNR comparison. Paper contains denoising. M documents and PSNR for the. M file. Program notes in detail, it is also useful. Through test code. Platform: |
Size: 171008 |
Author:chy |
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Description: matlabf非常好基于Contourlet变换的水印算法.与小波变换不同的是Contourlet变换采用类似于线段（contoursegment的基得到一种多分辨、局部化、方向性的图像表示。水印信号通过基于内容的乘性方案加载到Contourlet 变换系数-matlabf very good Contourlet Transform-based watermarking algorithm. and wavelet transform is different Contourlet transform similar segment (contoursegment the base to be a multiresolution, local and express direction of the image. watermark signal by the adoption of content-based programs loaded into Contourlet transform coefficients Platform: |
Size: 477184 |
Author:ddsdsds |
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Description: 这是一个Matlab实现的隐马尔科夫树模型，用于计算图像的Contourlet系数。程序同时还包括图像去噪、纹理恢复的应用模型。-This is a Matlab realization of Hidden Markov Tree Model, used to calculate the coefficient Contourlet images. Program also includes image denoising, texture restoration of the application model. Platform: |
Size: 2464768 |
Author:小单 |
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Description: 一种彩色图像增强方法，它用于增强图像的对比度，优化图像视觉效果，同时保持几乎一致的图像色彩保真度.-A color image enhancement method, which used to enhance image contrast, optimizing the image visual effects, while maintaining almost the same image color fidelity. Platform: |
Size: 686080 |
Author:杨战 |
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Description: Contourlet is a new approach in image transform. There have something better than Fourier and Wavalet transform. Platform: |
Size: 769024 |
Author:Tin Ho |
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Description: 基于contourlet的图像压缩编码，其中包括计算PSNR值，压缩比和运行时间-Contourlet-based image compression coding, including the calculation of PSNR values, compression ratio and run-time Platform: |
Size: 381952 |
Author:刘灿 |
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Description: Contourlet变换的matlab实现，并用于图像的放大插值。-Contourlet transform matlab implementation, and is used to enlarge the image interpolation. Platform: |
Size: 818176 |
Author:jiong |
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Description: 针对医学图像数据库,提出一种新的基于纹理和形状的图像检索方法。非下采样Contourlet变换具有多尺度多分辨率
分析和平移不变性的特点,用来提取纹理特征。Zernike矩作为一种基于区域的形状描述子,具有良好的旋转不变性,用来提取
形状特征. 然后综合两种特征。对CT图像数据库进行检索实验,实验结果表明,该方法具有良好的检索性能,并具有平移、尺
度、旋转不变性。-Aiming atmedical image database, a novelmedical image retrieval algorithm based on texture and shape
information is p roposed. The nonsubsamp led Contourlet transform p rovides a flexible multi2scale, multi2direction and
shift2invariant image rep resentation. It is used for texture feature extraction. As a region2based shape descrip tor,
Zernike moments have good rotation invariance. It is used to extract shape feature. Then, the two features are inte2
grated into image retrieval. A CT image database was retrieved using thismethod. Experimental results show that the
new method has good retrieval performance and the p roperties of translation, scaling and rotation invariance.
Key words: nonsubsamp led Contourlet transform Zernike moment texture extraction shape extraction Platform: |
Size: 397312 |
Author:ll |
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Description: Contourlet变换是一种新的图像二维表示方法，具有多分辨率、局部定位、多方向性、近邻界采样和各向异性等性质，其基函数分布于多尺度、多方向上，少量系数即可有效地捕捉图像中的边缘轮廓，而边缘轮廓正是自然图像中的主要特征。-Contourlet image transformation is a new two-dimensional representation, with multi-resolution, local orientation, multi-directional, neighboring community and anisotropy nature of sampling, the basis function distribution in the multi-scale, multi-up, a few factors that can effectively capture the image edges, and edges is the main features of natural images. Platform: |
Size: 1343488 |
Author:梅雪 |
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