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Description: 对一幅图像的进行小波包分解，然后提取每一层的系数-image of a pair of wavelet packet decomposition, and then extract the coefficient of each layer
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Size: 1024 |
Author: 张崇 |
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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.
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Size: 1024 |
Author: 李冰 |
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Description: 使用matlab实现多学科设计优化中目标层解分析法，比较形象的描述了问题的求解。-Matlab realize the use of multidisciplinary design optimization of the target layer solution analysis, comparing the image of a description of the problem solving.
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Size: 2048 |
Author: 上将 |
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Description: 利用二维小波分析对一幅图象作2层小波分解,并在此基础上提取各层的低频信息实现图像的压缩.-The use of two-dimensional wavelet analysis of images for a 2-layer wavelet decomposition, and on this basis the low-frequency information extracted all levels to achieve image compression.
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Size: 2048 |
Author: 龙活 |
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Description: 用dwt函数实现了一层小波变换，并将各分量用图像显示了出来-Dwt function implementation with a layer of wavelet transform, and image display using the component out
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Size: 1024 |
Author: 刘凤霞 |
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Description: 通过位图实现了图层，如果做简单的图像编辑软件，可以参考这个例子。-Achieved through bitmap layer, if to do simple image editing software, you can refer to this example.
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Size: 630784 |
Author: 黄涛 |
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Description: worldwind surface image layer
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Size: 3072 |
Author: rajapp |
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Description: 本次实验中对视频的I帧和P帧进行SNR可伸缩编码，可分级的级数为2。在I帧编码时，首先采用较大的量化矩阵进行量化，完成编码后的图像作为基本层-The experiments on the video frames and the I to P frame SNR scalable coding, can be graded series of 2. In the I-frame coding, the first to quantify the larger matrix to quantify the complete image is encoded as a basic layer
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Size: 3072 |
Author: 郝人 |
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Description: 先由原始图像（任选）产生待恢复的图像； 利用二维小波分析对一幅图象作2层小波分解,并在此基础上提取各层的低频信息实现图像的压缩。
分别用逆滤波和维纳滤波恢复上面图像。
-First be the original image (optional) to restore the image to be generated the use of two-dimensional wavelet analysis of an image for two-layer wavelet decomposition, and on this basis, the low-frequency information extracted layers for image compression. Were used to inverse filtering and Wiener filter to restore the image above.
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Size: 1024 |
Author: tony |
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Description: 在单层模糊图像增强算法的基础上的一种改进图像分割分法-In the single-layer fuzzy image enhancement algorithm based on a points system to improve image segmentation
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Size: 1152000 |
Author: 陈建成 |
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Description: 利用二维小波分析对图像作2层小波分解，并在此基础上提取各层的低频信息。-Image using two-dimensional wavelet analysis for two-layer wavelet decomposition, and on this basis, the low-frequency information extracted layers.
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Size: 448512 |
Author: 李亓 |
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Description: 图像小波变换，可实现1，2，3层小波，图像增强，融合等，功能相当强大-Wavelet transform, can be realized 1,2,3-layer wavelet, image enhancement, integration, functions quite powerful
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Size: 102400 |
Author: 李明金 |
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Description: 小波分层阈值去噪，用sym4小波对图像信号进行3层小波分解-On Wavelet threshold denoising using wavelet image signal sym4 3-layer wavelet decomposition
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Size: 36864 |
Author: 罗绒 |
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Description: 把两个灰度图象融合在一起：用小波函数sym4对图象1进行2层分解，然后对分解系数图像融合：进行处理，突出轮廓，弱化细节。小波函数sym4对图象2进行2层分解。最后在小波的变换域里进行融合，再进行融合的系数的重构。-Grayscale images of the two together: The wavelet function sym4 1 to 2 layers of image decomposition, image fusion and the decomposition coefficients: for treatment, highlight the profile, weakening the details. Wavelet function sym4 2 for 2 on the image layer decomposition. Finally, in wavelet transform domain in the fusion, further integration of the coefficient of reconstruction.
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Size: 1024 |
Author: 小飓风 |
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Description: 基于小波变换的多分辨匹配算法:
首先利用小波的多分辩率特性将匹配图像和模板图像分解到乙层上，并且只保留LL低频部分，然后利用归一化相关法作为相似性度量，进行由粗到细的相关匹配过程，每次利用下一层的匹配结果在上层小范围内搜索。这样做极大地减少了搜索空间，而且减少了每次匹配计算相似度的数据量。
-Wavelet multiresolution matching algorithms: a wavelet multi-resolution feature will match the image and the template image is decomposed to the B layer, and retain only low-frequency part of the LL, and then use normalized correlation as a similarity measure, carried out by the rough to the relevant matching process, each time using the matching results of the next layer in the upper small scale search. This greatly reduces the search space, but also reduced the calculation of similarity for each match the amount of data.
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Size: 252928 |
Author: 韩小芳 |
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Description: 基于lena图像的3层小波的图像分解与重构-Lena image-based 3-layer wavelet decomposition and reconstruction of images
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Size: 66560 |
Author: xucong |
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Description: 应用小波变换进行的数字水印图像处理，在原图像上加上一层水印-Application of digital watermarking wavelet transform image processing, with a layer of the original image watermark
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Size: 1024 |
Author: tingting |
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Description: the noise deteriorates the
interpolation performance in digital images, it is effective to
employ denoising prior to the interpolation. In this paper, we
propose a novel interpolation framework in which denoising
and image sharpening methods are embedded. In the
proposed framework, the image is first decomposed using the
bilateral filter into the detail and base layers which represent
the small and large scale features, respectively. The detail
layer is adaptively smoothed to suppress the noise before
interpolation and an edge-preserving interpolation method is
applied to both layers. Finally, the high resolution image is
obtained by combining the base and detail layers.
Experimental results show that the proposed algorithm
outperforms the conventional methods
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Size: 1034240 |
Author: prabhakaran |
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Description: 小波对图像的一层分解，也可以设置任意的分解层数-Wavelet decomposition of the image layer, you can also set arbitrary decomposition level
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Size: 1024 |
Author: 宁宁 |
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Description: Single Image Layer Separation using Relative Smoothne-Single Image Layer Separation using Relative Smoothness
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Size: 3513344 |
Author: mr.li |
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