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Description: 一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除
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Size: 43851 |
Author: 李远 |
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Description: 图像的奇异值分解，并将图像重构出来，看其效果的变换-image of the singular value decomposition, and image reconstruction, and look at the effect of the change
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Size: 10240 |
Author: whatman |
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Description: ％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法，
％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵，
％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。
％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解- Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution
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Size: 3072 |
Author: zhxj |
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Description: 根据奇异值分解的基本原理及其特点，给出了运羽奇异值分解进行图像压缩的方法．通过简单的例子说明了该方法进行图像压缩的基本过程，给出了压缩流程．并通过MATLAB编程对实际图像进行处理，表明了该方法的有效性．-Singular value decomposition in accordance with the basic principles and characteristics are given plume transported singular value decomposition for image compression method. Through simple examples to illustrate the methods of the basic process of image compression, the compression process is given. Through MATLAB programming deal with the actual images shows the effectiveness of the method.
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Size: 181248 |
Author: liulei |
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Description: 一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除-A series of image compression technology to display the source code. Include: the use of block truncation coding for image compression (Block Truncation), based on the Gaussian pyramid transform for image compression (Gaussian Pyramids), based on the discrete cosine transform for image compression (Discrete Cosine Transform), based on singular value decomposition (SVD) Image compression (Singular Value Decomposition). Given code can also be used in 2D image noise cancellation
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Size: 44032 |
Author: 李远 |
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Description: 一种新的基于matlab环境的用SVD原理实现图像压缩的源程序，程序简单易懂-Implementation of new image compression using SVD, the program easy to understand
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Size: 6144 |
Author: 国华 |
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Description: 本文提出一种在原始视频DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印的算法。算法首先将视频流分割成一个个场景,场景中的视频图像被变换到DCT-SVD域中,水印量化嵌入在最大奇异上,实现了水印盲检测。同时实验证明该算法在满足透明性要求下也满足一定的鲁棒性要求,能够抵抗低通滤波、中值滤波、椒盐噪声、高斯噪声、H.264压缩攻击以及统计攻击和帧剪切等攻击。-This paper presents an original video in the DCT (Discrete Cosine Transform) and SVD (singular value decomposition) algorithm for adaptive watermark embedding. Firstly, a video stream is divided into scenes, scenes of the video image is converted to the DCT-SVD domain, the watermark embedded in the largest singular quantification, the realization of the watermark signal. Furthermore, the experiments show that the algorithm meet the transparency requirements are met under certain robustness requirements, can resist the low-pass filtering, median filtering, salt and pepper noise, Gaussian noise, H.264 compression attacks and attacks and frame shear statistics attack.
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Size: 63488 |
Author: 久久 |
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Description: 一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除。-Image Compression
A collection of simple routines for image compression using different techniques.
BTCODE:
Image compression Using Block Truncation Coding.
PYRAMID:
Image compression based on Gaussian Pyramids.
DCTCOMPR:
Image compression based on Discrete Cosine Transform.
IMCOMPR:
Image compression based on Singular Value Decomposition.
The given codes can be also used in 2D noise suppression.
Notes:
The function "conv2fft" performs a 2D FFT-based convolution.
Type "help conv2fft" on Matlab command window for more informations.
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Size: 56320 |
Author: 依米 |
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Description: image compression jpeg 2-image compression jpeg 2000
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Size: 3072 |
Author: vinayak |
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Description: SVD based image compression
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Size: 1024 |
Author: mahendra |
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Description: SVD Source Code, realized on MATLAB
Image Compression is the application using Linear Algebra tools
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Size: 120832 |
Author: mahendra |
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Description: Abstract- H.264/AVC is becoming a popular video codec for
its better compression ratio, lower distortion and applicability
to portable electronic devices. Thus, issues of copyright
protection appropriate for this standard become very
important. In this paper, a new blind SVD (Singular Value
Decomposition) - DCT combined video watermarking scheme
for the ".264 standard is proposed. The proposed method is a
blind watermarking algorithm as the hidden information can be
extracted without the original video and the original singular
values. To reduce visual quality degradation caused by
coefficients modifying, the perceptual model and block selection
mechanism are introduced to control the modification strength.
The performance of the proposed algorithm is evaluated with
respect to imperceptibility, robustness and data payload.
Experimental results reveal that the proposed scheme achieves
enough robustness while preserving the perceptual quality.-Abstract- H.264/AVC is becoming a popular video codec for
its better compression ratio, lower distortion and applicability
to portable electronic devices. Thus, issues of copyright
protection appropriate for this standard become very
important. In this paper, a new blind SVD (Singular Value
Decomposition)- DCT combined video watermarking scheme
for the ".264 standard is proposed. The proposed method is a
blind watermarking algorithm as the hidden information can be
extracted without the original video and the original singular
values. To reduce visual quality degradation caused by
coefficients modifying, the perceptual model and block selection
mechanism are introduced to control the modification strength.
The performance of the proposed algorithm is evaluated with
respect to imperceptibility, robustness and data payload.
Experimental results reveal that the proposed scheme achieves
enough robustness while preserving the perceptual quality.
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Size: 486400 |
Author: lie |
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Description: 结合svd与dwt的程序，优点有很多，例如抗压缩攻击，抗剪切攻击，-Dwt with svd and procedures, there are many advantages, such as resistance to compression attacks, shear attacks, etc.
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Size: 10240 |
Author: 我考 |
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Description: Image Compression using Singular Value Decomposition
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Size: 184320 |
Author: 郑秀文 |
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Description: 压缩传感理论，用K-SVD算法训练字典，过完备字典-Compression sensing theory, SVD algorithm with K- had complete training dictionary, dictionary
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Size: 6721536 |
Author: 白雪 |
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Description: 一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除。-Series show the source code for image compression technology. Include: use of block truncation coding for image compression (Block Truncation), Gaussian pyramid transform based image compression (Gaussian Pyramids), based on the discrete cosine transform image compression (Discrete Cosine Transform), based on singular value decomposition (SVD) image compression (Singular Value Decomposition). The code given 2D image can also be used for noise cancellation.
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Size: 61440 |
Author: 程擎 |
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Description: 基于奇异值分解（SVD）的图像压缩算法matlab实现-Based on singular value decomposition (SVD) to achieve image compression algorithm matlab
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Size: 1024 |
Author: 高凯 |
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Description: 用matlab仿真，通过不同的方法计算矩阵的SVD分解，并用SVD的方法计算最小二乘问题和进行图像压缩-Matlab simulation, different ways to calculate the matrix SVD decomposition and the SVD method to calculate the least squares problem and the image compression
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Size: 428032 |
Author: 沈年凤 |
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Description: image compression using svd
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Size: 429056 |
Author: advise20023
|
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Description: In this paper a new image compression technique is presented using Singular value decomposition (SVD) and wavelet difference reduction (WDR). In this we have done hybridization of these two techniques in order to achieve higher compression rate and better image quality.
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Size: 766976 |
Author: hiyam
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