Description: Matlab环境下利用Daubechies小波族中的db10小波对散斑退化图像进行了压缩数值仿真研究。研究表明：阈值以及分解层次的选取影响着图像压缩的质量。-Matlab environment using Daubechies wavelet tribal db10 wavelet the withdrawal of speckle image compression for the numerical simulation. Research shows : the threshold level of decomposition is influenced by the quality of image compression. Platform: |
Size: 4264 |
Author:安 |
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Description: 3次非标准小波分解和重构， 使用两种小波：Haar小波和db9小波 设计3级小波分解和重构图像的程序 用你自己的照片作对象，显示其中任一种小波图像分解和重构过程 使用Haar小波时，计算阈值分别为0，5，10和20的情况下，用PNG格式存储重构的图像，并将计算结果填入“图像测试表” 使用db9小波时，计算阈值分别为0，5，10和20的情况下，用PNG格式存储重构的图像，并将计算结果填入“图像测试表” -3rd standard wavelet decomposition and reconstruction, the use of two wavelet : Haar wavelet and wavelet design Terminal 3 wavelet decomposition and reconstruction process images using your own pictures for targets, which shows the image of a wavelet decomposition and reconstruction process using wavelet Haar, the threshold values were calculated for 0, 5,10 and 20 of the cases, the storage format used PNG Image Reconstruction and results Enter "Image table test" Wavelet use Terminal, the threshold values were calculated for 0,5,10 and 20 of the cases, the storage format used PNG Image Reconstruction and calculation results Enter "Image test Table" Platform: |
Size: 5120 |
Author:yule |
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Description: 本程序实现利用小波变换对图像进行分解，获取其低频和高频部分-the program using wavelet image decomposition, their access to low-frequency and high-frequency part of Platform: |
Size: 3717120 |
Author:薛燕 |
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Description: Matlab环境下利用Daubechies小波族中的db10小波对散斑退化图像进行了压缩数值仿真研究。研究表明：阈值以及分解层次的选取影响着图像压缩的质量。-Matlab environment using Daubechies wavelet tribal db10 wavelet the withdrawal of speckle image compression for the numerical simulation. Research shows : the threshold level of decomposition is influenced by the quality of image compression. Platform: |
Size: 4096 |
Author:安 |
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Description: 提出了一种离散小波变换域实现图像水印的方法。这种算法充分利用小波变换的特点,把原始图像及水印图像塔式分解,在多分辨率分解后的相同的频段来嵌入水印信息。该方法也利用了人眼视觉特性,算法简单而有效。实验证明,该算法较好地解决了水印不可见性与鲁棒性之间的矛盾,对常见的水印攻击都有较强的鲁棒性。-presents a discrete wavelet transform domain image watermarking method. This algorithm using wavelet transform characteristics, the original image and the watermark image tower decomposition, Multiresolution decomposition in the same frequency band to the embedded watermark. The method has also been used HVS, the algorithm is simple and effective. Experiments show that the algorithm can solve the watermark is visible with the robust nature of, common to have more attacks watermark robustness. Platform: |
Size: 151552 |
Author:yy |
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Description: 文章利用MATLAB语言及其小波工具箱，采用小波变换算法，开发数字水印嵌入系统，通过对原始静态图像和二值图像水印进行小波多分辨率分解，组合对应方向上的小波细节子图数据，从而实现了在原始静态图像上嵌入二值图像水印。有部分代码-article using MATLAB language and its toolbox, wavelet transform algorithm, development of digital watermark embedded systems, right through static images and the original binary image watermarking multiresolution wavelet decomposition, Portfolio corresponding direction on the details of wavelet-map data, thus realizing the original static image embedded binary image watermarking. Some code Platform: |
Size: 52224 |
Author:ming-ming |
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Description: 用MatLab实现图像压缩。以真彩图像的处理为例，对由它转换来的彩色索引矩阵进行二进小波多层分解，对低频近似的系数矩阵作相应的截取处理，以及优化索引图像的彩色图。-Realize image compression using MatLab. To deal with true color images for example, by its conversion to the color index matrix dyadic wavelet decomposition of multi-storey, low-frequency approximation of the coefficient matrix for the corresponding interception treatment, as well as the optimization of image color map index. Platform: |
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Author:郝鹏翼 |
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Description: This program compress and recostruct using wavelets. We can select level of decomposition(here maximum 4 levels are given) of images using selected wavelet.
For eg:-wavelets can be haar, db1, db2,dmey...............
Decomposition can be viewed in figure.
(Please note that select 256X256 image for better result.)
Then compression can performed,
PERFL2 give compression score.
Then reconstruction can be performed.
Each decompsition we can choose different threshold values.
For each threshold value we can calculate mse,psnr,pq(picture quality),
bit ratio etc. To get pq install pqs function . -This program compress and recostruct using wavelets. We can select level of decomposition (here maximum 4 levels are given) of images using selected wavelet.For eg:-wavelets can be haar, db1, db2, dmey ........ ....... Decomposition can be viewed in figure. (Please note that select 256X256 image for better result.) Then compression can performed, PERFL2 give compression score.Then reconstruction can be performed.Each decompsition we can choose different threshold values . For each threshold value we can calculate mse, psnr, pq (picture quality), bit ratio etc. To get pq install pqs function. Platform: |
Size: 3072 |
Author:陈语恬 |
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Description: 一种基于小波分解的多图象拼接技术.对在多个图象间进行非规则形状图象拼接的多分辨整合技术进行了研究。运用Multi2masks方法将多个图象的选定区域同时融合在一起, 减小了计算量, 并利用小波变换对图象进行多分辨分解, 采用与频段宽度成正比的加权拼接宽度来消除拼缝的影响.-Based on wavelet decomposition of multi-image stitching technology. Between the images in a number of non-rules shapes multiresolution image stitching technology integration is studied. Multi2masks methods use multiple images of the selected regions together at the same time, reduces the computation and use of wavelet transform for image multiresolution decomposition, using the band width is proportional to the width of the weighted splicing to eliminate the拼缝impact. Platform: |
Size: 141312 |
Author:依静 |
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Description: 在用小波分解加强图像边缘的基础上，利用修正的形态学边缘检测算子，以减
轻图像边缘检测的模糊性；通过形态结：构元素尺度的调整，得到多尺度下图像边缘的
特征，并综合各尺度下的边缘特征，得到较为理想的图像边缘，实验验证了该算法的可
行性和有效性。-Using wavelet decomposition to strengthen the image edge based on the use of amendments to the morphological edge detection operator, so as to reduce the image edge detection ambiguity through the knot patterns: constitutive elements of the adjustment scale, the Multi-scale image edge features and various-scale edge features, to be more ideal image edge, experimental verification of the algorithm is feasible and effective. Platform: |
Size: 145408 |
Author:舞者 |
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Description: 此示意程序用DWT实现二维小波变换
1.调原始图像矩阵
2.进行二维小波分解
3.分解结果显示
重构源图像及结果显示
-This indicated the procedure using two-dimensional wavelet transform DWT realize one. Transferred the original image matrix 2. To carry out two-dimensional wavelet decomposition 3. Decomposition results show that reconstruction of the source images and results show Platform: |
Size: 1024 |
Author:王雪晴 |
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Description: 把图像进行三级分解，去掉低频部分，进行重构，从而用小波提取指定方向（4个）的图像边缘-3 decomposition of the image to remove low-frequency part is reconstructed, which specify the direction of extraction using wavelet (4) Edge Platform: |
Size: 2048 |
Author:陆波 |
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Description: 根据小波变换和噪声信号地能量分布特性，提出了一种先用小波变换对含噪图像进行多尺度分解，求出各尺度小波变换高频系数地噪声方差和阈值，利用各尺度地阈值对高频系数进行处理，然后利用小波变换系数重构图像，实现图像降噪地方法。-According to wavelet transform and noise signal and energy distribution characteristics, a first wavelet transform of the noisy image multiscale decomposition, obtained the high-frequency-scale wavelet transform coefficients and noise variance and thresholds, using the scale to the threshold value of the deal with high-frequency coefficients, and then the use of wavelet transform coefficients reconstructed image, to realize image denoising methods. Platform: |
Size: 519168 |
Author:wangrui |
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Description: 图象增强
小波变换将一幅图象分解为大小、位置和方向都不同的分量。在做逆变换之前可以改变小波变换域中某些系数的大小，这样就能够洋选择的放大所感兴趣的分量而减小不需要的分量。
给定一个图象信号，用二维小波分析对图象进行增强处理。-Image enhancement will be a wavelet transform image decomposition for size, location and direction of the weight is different. To do before the inverse transform of wavelet transform domain can change the size of certain coefficients, so that foreigners will be able to choose to enlarge the amount of interest and reduce the unwanted weight. Given an image signal, using two-dimensional wavelet analysis of images to enhance treatment. Platform: |
Size: 2048 |
Author:eels |
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Description: 应用二维小波变换对图像进行去噪。程序image_denoise1.m应用sym5小波对图像进行2层分解，直接用各层的逼近信号表示去噪后的信号。程序image_denoise2.m利用不同的阈值对含噪信号进行去噪，相当于进行两次高频噪声的消除，并且阈值不同。-Application of two-dimensional wavelet transform for image denoising. Application procedures image_denoise1.m image sym5 wavelet decomposition layer 2, the direct use of all floors of the signals that the approximation of the signal after denoising. Image_denoise2.m procedures using different thresholds for denoising noisy signals, which is equivalent to twice the elimination of high-frequency noise, and different thresholds. Platform: |
Size: 1024 |
Author:李冰 |
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Description: dctcom.m文件利用DCT变换完成对输入图像进行压缩；imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪，得到高频系数阈值，降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解；zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.-document the use of DCT transform dctcom.m completion of the input image compression imagecbe.m completion of the two RGB input image with wavelet analysis method of image fusion imagecom.m completion of the input RGB image using wavelet analysis method automatically drop noise, the threshold of high-frequency coefficient, noise reduction effect and the results of the percentage of wavelet1D.m completion of the input signals of one-dimensional discrete wavelet multi-scale decomposition wavelet2D completion of the input signals of two-dimensional discrete wavelet multi-scale decomposition zigzag.m completed the input of 8* 8 matrix of data collected in accordance with the zigzag order. Platform: |
Size: 3072 |
Author:zhouhao |
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Description: The following implementation steps have been made for the devised algorithm, which is based on 2D-wavelet.
1. Reading an image of either gray scale or RGB image.
2. Converting the image into grayscale if the image is RGB.
3. Decomposition of images using wavelets for the level N.
4. Selecting and assigning a wavelet for compression.
5. Generating threshold coefficients using Birge-Massart strategy.
6. Performing the image compression using wavelets.
7. Computing and displaying the results such as compressed image, retained energy and Zero coefficients.
8. Decompression the image based on the wavelet decomposition structure.
9. Plotting the reconstructed image.
10. Computing and displaying the size of original image, compressed image and decompressed image. Platform: |
Size: 1024 |
Author:fer |
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Description: Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements. The report covers some background of wavelet analysis, data compression and how wavelets have been and can be used for image compression. This project aims at implementing wavelet transform for image compression. The wavelet transform is implemented using Matlab.As the wavelets provide a unique relation between time and scale components of the signal, this property makes wavelets suitable for image compression and also the efficient decomposition of signals prior to compression. Platform: |
Size: 1024 |
Author:prince |
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Description: 下载并读入被噪音污染的Noisychurch图像数据，用Matlab 编程采用下述方法分
别实现该图像的增强操作：
1） 用空域法实现图像的增强，分别采用如下模板操作：2x2 和3x3 的幅值为1
的模板，比较去噪和模糊的折中效果；采用3x3 的中值滤波器进行去噪操作；
采用Laplacian 模板[0 -1 0 -1 5 -1 0 -1 0]进行锐化操作。
2） 用频域法实现该图像的低通和高通滤波，选择合适的截止频率。
3） 用小波分析法实现该图像的低通和高通滤波，注意离散小波分析的分解和重
构算法的运用。
4） 比较上述三种处理方法的结果。 -Download and read by the noise pollution Noisychurch image data using Matlab programming using the following method to achieve the image enhancement operation: 1) image enhancement airspace law, respectively, using the following template operation: 2x2 and 3x3 amplitude a template comparison denoising and fuzzy compromise denoising operation with a 3x3 median filter using Laplacian template [0-10 -15-1 0-10] for sharpening operation. . 2) low-pass and high-pass filtering of the image using the frequency-domain method, select the appropriate cut-off frequency. 3) low-pass and high-pass filtering of the image using wavelet analysis, pay attention to the use of discrete wavelet analysis decomposition and reconstruction algorithm. 4) comparing the results of the three processing method. Platform: |
Size: 2606080 |
Author:Haibin Zhang |
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Description: 对雾天图像利用小波变换分解，实现图像去雾增强，分解的层数越多，处理后的效果越明显。-On the fog image using wavelet transform decomposition, to achieve the image to fog enhancement, decomposition of the number of layers, the more obvious the effect of the treatment. Platform: |
Size: 270336 |
Author:zhang |
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Search - decomposition of image using wavelet