Description: 最低有效位嵌入水印的matlab程序，比较基础的，希望对给位有用。-Least significant bit of matlab watermark embedding process, the basis of comparison, in the hope that useful to the bit. Platform: |
Size: 4096 |
Author:杨霞 |
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Description: wavelet based watermarking with dwt2 function in matlab it s an implementaton of an ieee paper.its a visible watermark it calculates the peak signal to noise ratio and the mean square error Platform: |
Size: 1024 |
Author:peed |
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Description: 为了提供较大的秘密信息嵌入量和保持良好的载密图像质量,依据人眼对变换剧烈及较暗区域均不敏感的视觉特点,提出了一种基于小波对比度和最低比特位替换(LSB)的图像密写方法.该方法先将载体图像分成固定大小的小块,对每一小块进行小波分解后计算小波对比度.然后,根据该块小波对比度绝对值之和确定该块可以嵌入的位平面层数.最后,采用LSB密写技术逐层嵌入秘密信息.实验结果表明,该密写方法能嵌入较多的信息和保持良好的载密图像质量,并且可直接从载密图像中提取秘密信息.-In order to provide larger capacity of the hidden secret data and to maintain a good visual quality of stego-image,in accordance with the visual property that human eyes are insensitive to edged area and dark area,a novel steganographic method based on wavelet contrast and Least-Significant-Bit(LSB)replacement is presented.First,an image is divided into blocks,and every block is decomposed into one-level wavelet to obtain the wavelet contrast.Then,the number of bit-plane embedded is decided with the s... Platform: |
Size: 263168 |
Author:boe |
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Description: A new approach for fingerprint verification, based on wavelets and pseudo Zernike moments (PZMs), is
discussed. PZMs are robust to noisy images, invariant to rotation and have a good image reconstruction
capability [4]. PZMs have been used for global analysis and so they are used to extract global features (the
shape of the fingerprint image). Wavelets are good at local analysis and so they help to extract local
features (minutiae) from a fingerprint. Therefore, this hybrid approach extracts most significant features
from the fingerprint images and achieve better verification rate. Different types of wavelets are used for the
study but the result shows that Symmlet orthonormal wavelet of order 8 gives best verification rate. Platform: |
Size: 386048 |
Author:samira |
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Description: 利用图像的时间熵复杂性来寻找图像视觉显著性的区域-The time of image complexity to find the image entropy of significant areas of visual Platform: |
Size: 21504 |
Author:廖秋萍 |
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Description: 小波变换是近年来发展起来的一门新的数学分支
它适宜于分析研究信号的局部性质, 对
于图象数据压缩、奇性检测、非卷积型算子的化简及取样插值定理等方面都有着重要的应-Wavelet transform is developed in recent years a new branch of mathematics it suitable for the local nature of the signal analysis for image data compression, singularity detection, non-convolution type operator interpolation theorems simplify and sampling, etc. should have a significant Platform: |
Size: 541696 |
Author:彩虹 |
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Description: 小波变换是近年来发展起来的一门新的数学分支
它适宜于分析研究信号的局部性质, 对
于图象数据压缩、奇性检测、非卷积型算子的化简及取样插值定理等方面都有着重要的应-Wavelet transform is developed in recent years a new branch of mathematics it suitable for the local nature of the signal analysis for image data compression, singularity detection, non-convolution type operator interpolation theorems simplify and sampling, etc. should have a significant Platform: |
Size: 482304 |
Author:彩虹 |
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Description: 这是一份高阶统计量的资料，有相关的程序，目前高阶统计量是研究的热门话题，对于地震子波的高精度提取有重要意义。-This is a higher-order statistics of the data full of relevant procedures,and at present higher-order statistics is a hot topic which is very important and significant for high-precision seismic wavelet extraction. Platform: |
Size: 123904 |
Author:李向阳 |
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Description: technique is quite small owing to the low compression ratio. Based on this, a general least significant
bit-plane (LSB) embedding technique in the spatial domain was proposed by Celik et al. [6]. The payload and
imperceptibility of embedded data are largely improved because of the more efficient compression technique.
Domingo-Ferrer et al. [5] proposed a spread spectrum data hiding method that is only reversible with respect
to the modified version of the original host signal . Xuan et al. [7] proposed a reversible data hiding algorithm
carried out in the integer wavelet transform (IWT) domain. An improved version of this algorithm was
reported in [11]. By exploiting the superior features of wavelet transform, in particular, the high decorre-technique is quite small owing to the low compression ratio. Based on this, a general least significant
bit-plane (LSB) embedding technique in the spatial domain was proposed by Celik et al. [6]. The payload and
imperceptibility of embedded data are largely improved because of the more efficient compression technique.
Domingo-Ferrer et al. [5] proposed a spread spectrum data hiding method that is only reversible with respect
to the modified version of the original host signal . Xuan et al. [7] proposed a reversible data hiding algorithm
carried out in the integer wavelet transform (IWT) domain. An improved version of this algorithm was
reported in [11]. By exploiting the superior features of wavelet transform, in particular, the high decorre Platform: |
Size: 474112 |
Author:Ragu |
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Description: 本程序用于检测图像中最大连通区域。通过对小波或其他边缘检测的结果进行适当处理，较为准确得出原图片中的最大连通区域。可用于显著性检测以及区域分割等。实现平台为C++&opencv-This procedure is used to detect the image of the largest regional connectivity. Through the wavelet edge detection results or other appropriate treatment, more accurate picture of the biggest draw of the original regional connectivity. Can be used to detect significant and regional segmentation. Implementation platform for the C++ & opencv Platform: |
Size: 8764416 |
Author:冷冷 |
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Description: 图像处理中很有用的小波变换和显著图的源码，希望对大家有哦用-Useful for image processing wavelet transform and significant figure of the source, we hope to oh Platform: |
Size: 697344 |
Author:高琪琪 |
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Description: We propose a complete video encoder based on directional “nonseparable” transforms that allow spatial and temporal correlation to be jointly exploited. These lifting-based wavelet transforms are applied on graphs that link pixels in a video sequence based on motion information. In this paper, we first consider a low complexity version of this transform, which can operate on subgraphs without significant loss in performance. We then study coefficient reordering techniques that lead to a more realistic and efficient encoder that the one we presented in our earlier work. Our proposed technique shows encouraging results as compared to a comparable scheme based on the DCT transform. Platform: |
Size: 362496 |
Author:bamerni |
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Description: 算法是在MATLAB环境下编译的，其实现的功能主要是采用小波包BARK域中子带方差法来实现端点检测，实验结果表明在高信噪比情况下效果显著-Algorithm is compiled in MATLAB environment, and its main function is implemented using wavelet packet BARK sub-band variance jurisdictions to implement endpoint detection, experimental results show that at high SNR significant effect Platform: |
Size: 3072 |
Author:王栋 |
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Description: 这本书在稀疏的多尺度图像和信号处理提出了艺术状态，包括线性多尺度变换，如小波，脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题，如去噪，反问题正规化，稀疏信号分解，盲源分离，压缩感知。
这本书的理论和实践研究相结合的领域，如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换，表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。
MATLAB和IDL代码伴随这些方法和应用程序重现。
实验并说明了在相关网站上可下载的研究的推理和方法。(This book presents the state of the art in sparse and multiscale image and signal processing,
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms,
and non-linear multiscale transforms based on the median and mathematical
morphology operators. Recent concepts of sparsity and morphological diversity are described
and exploited for various problems such as denoising, inverse problem regularization,
sparse signal decomposition, blind source separation, and compressed sensing.
This book weds theory and practice in examining applications in areas such as astronomy,
biology, physics, digital media, and forensics. A final chapter explores a paradigm
shift in signal processing, showing that previous limits to information sampling and
extraction can be overcome in very significant ways.) Platform: |
Size: 30863360 |
Author:lxfei73 |
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Search - wavelet Significant