Description: 自己实现的一维、二维DFT。优点：变换后的低频分量在中间，弥补了matlab库函数的不足（高频分量在中间）-Realize their own one-dimensional, two-dimensional DFT. Advantages: low-frequency components after the transformation in the middle, made up for the inadequacy of matlab library function (high-frequency component in the middle) Platform: |
Size: 2048 |
Author:gjf281 |
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Description: 给出了一种基于小波变换的图像融合方法，对小波分解后的低频分量通过度量其图像块空间频率和对比度来确定融合图
像的低频分量，对分解后得到的高频分量，选择高频系数时，基于绝对值最大的原则，并对选择结果进行一致性验证，最后重构得
到融合图像。从仿真结果可以看出，给出的方法很好地保留了多幅原图像的有用信息，融合图像清晰度和对比度都较好，是一种有
效的图像融合算法-This paper presents a wavelet-based image fusion method, after the wavelet decomposition of the low frequency components through the measurement of its image block spatial frequency and contrast to determine the integration of low-frequency component images of decomposition after the high-frequency component, select the high-frequency coefficient and, based on the principle of the absolute value of the largest, and choose to verify consistency of results, and finally remodeling be fused image. From the simulation results can be seen that the method gives a good number of the original image to retain the useful information, integration of image sharpness and contrast are better, is an effective image fusion algorithm Platform: |
Size: 169984 |
Author:wd |
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Description: 利用傅里叶描述子进行物体形状分析：
对于一个物体的边缘即形状来说，可将其看作是平面在空间坐标系下的点集构成的闭合曲线，这样就可用周期函数来描述其外形，可以进行离散傅里叶变换，将图像由空域表示转换到频域表示，变换后的函数可由傅里叶变换系数来描述。对于数字图像的频谱来说，低频分量的分布反映了图像主体的基本形状，高频分量的分布反映图像的细节-Fourier descriptors for object shape analysis: For the edge of an object or shape, it can be regarded as the plane in the space coordinates of the point set consisting of closed curves, so that periodic function can be used to describe its shape , can be discrete Fourier transform, the image from the airspace, said the conversion to the frequency domain that function can be transformed to describe the Fourier transform coefficients. For digital images of the spectrum, the distribution of low-frequency components reflect the basic shape of the main images, high-frequency component of the distribution reflects the image details Platform: |
Size: 11264 |
Author:吴亚鹏 |
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Description: 出了一种基于近邻插值取样法的自适应奇检测彩色图像水印算法．该算法利用近邻插值取样法，根据载体图像的
大小，自适应调节二值水印图像的尺寸，经ArnoM置乱预处理后，嵌入到彩色载体图像蓝色分量的Dcr高频系数中，检测时不需要
原载体图像．实验表明，该算法具有较强的鲁棒性和良好的不可感知性，可有效低抗剪切、加噪、锐化等常见的图像攻击．-Out of a neighbor-based interpolation of the adaptive sampling method detection singular color image watermarking algorithm. Neighbor interpolation algorithm uses the sampling method, in accordance with the size of vector images, adaptive binary watermark image of size, by scrambling ArnoM after pretreatment embedded into the color vector image of blue high-frequency component coefficient Dcr detected when do not need the original vector image. The experiments show that the algorithm has strong robustness and good can not be perceived, effectively low-shear, noise, sharpening and other common image attacks. Platform: |
Size: 265216 |
Author:manyhappy |
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Description: 离散正交小波变换及小波重构，程序中给出测试数据，可得到这组数据小波分解后的低频分量和重构以后的数据-Discrete orthogonal wavelet transform and wavelet reconstruction, procedures given in the test data, available in this set of data after wavelet decomposition and reconstruction after low-frequency component data Platform: |
Size: 1024 |
Author:jacky |
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Description: 变频驱动主要使用的驱动波形主要有SPWM和SVPWM两种。SPWM原理简单、实现容易,是现在使用最广的一种变频驱动波形。但其有一个致命的弱点是其电源利用率不高（只有86％）、谐波成分大。因此,在新近开发的产品中其应用逐渐被性能优异的SVPWM所取代。SVPWM是一种电压利用率、低谐波成分的变频驱动波形,还有开关次数少、功率管功耗小等特点。同时,SVPWM还能很好的结合矢量控制算法、以最大限度的发挥设备的性能。因此被越来越多的变频设备所采用。-The main use of variable frequency drive drive waveform SPWM and SVPWM are mainly two. SPWM principle of simple, easy, is now the most widely used as a variable frequency drive waveform. But there is a fatal weakness is its power utilization is not high (only 86), large harmonic components. Therefore, in the newly developed products in its application performance is gradually replaced by SVPWM. SVPWM is a voltage utilization, low-harmonic component waveform of variable frequency drive, there are fewer switches, power control features such as power consumption small. At the same time, SVPWM also a very good combination of vector control algorithm to maximize the performance of the play equipment. Therefore increasingly being used by the inverter equipment. Platform: |
Size: 174080 |
Author:wangwang |
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Description: 视频文字识别在视频分析与检索中有着重要作用,该算法对字幕图像进行N层小波分解,获得该视频文字的低频分量,再借助相似性度量方法实现视频文字的识别。-Video character recognition in the video analysis and retrieval plays an important role in the algorithm of subtitles images N layer wavelet decomposition, which is low-frequency component video text, and then use similarity measurement method of video text recognition. Platform: |
Size: 323584 |
Author:冯雨桐 |
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Description: 设计一个低通滤波系统，任意输入三个频率使输入的信号中留下频率最低的
一个分量。-Designed a low-pass filter system, indiscriminate importation of the three input signal frequency so that left one of the lowest frequency component. Platform: |
Size: 1024 |
Author:沙磊 |
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Description: 实现小波变换调用upcoef 函数，根据近似（低频）分量和细节（高频）分量进行重构-Wavelet transform to achieve upcoef function call, according to approximation (low frequency) component and details (high frequency) component is reconstructed Platform: |
Size: 3072 |
Author:shx |
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Description: PAV (H265) 是 音视频 压缩解压 协议，非常不同于H264/MPEG4，ZPAV (H265) 的基本算法 是 小波，多级树集合群，广义小波，数学形态小波，......
ZPAV (H265) 基本算法 ：
1，图象与声音分解与合成 ：小波 ；
2，图象与声音前处理 ：小波子带零交叉降噪，目标纹理处理，语音处理 ；
3，速率控制 ：小波子带熵速率控制 ；
4，量化与反量化 ：小波子带熵量化与反量化 ；
5，低频分量和高频分量的降维 ：小波子带邻域交叉降维 ；
6，运动矢量和量化表的分解与合成 ：广义小波 ；
7，位面编码 ：数学形态小波，多级树集合群，嵌入零树，位面降维 ；
8，位流编码 ：算术编码，熵编码 ；
9，运动估计 ：宏块最优决策，运动矢量预测 ；
A，运动搜索 ：钻石，大钻石，小钻石，方形 ；
B，图象与声音后处理 ：低通滤波，断点重构，宏块平滑 ；
C，误码纠错 ：矢量仿真，帧间仿真 。
-The PAV (H265) is the audio and video compression and decompression protocol, is very different from H264/MPEG4
ZPAV (H265) algorithm is a wavelet, multi-level tree collection group, and generalized wavelets, mathematical morphology, wavelet, ...
ZPAV (H265) algorithm:
1, image and sound decomposition and synthesis: wavelet
2, image and sound processing: wavelet sub-band zero-crossing noise, target texture processing, speech processing
3, the rate control: wavelet subband entropy rate control
4, quantization and inverse quantization: Wavelet subband entropy quantization and inverse quantization
5, the dimensionality reduction of the low frequency component and high frequency components: the wavelet subbands neighborhood cross-dimensionality reduction
6, the decomposition and synthesis of the motion vector and quantization tables: generalized wavelet
7, bit-plane coding: the mathematical form of wavelet multi-level tree collection group, embedded zerotree, bit plane Platform: |
Size: 4826112 |
Author:李阳 |
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Description: 音频信号的水印设计，以音频信号为载体，将秘密信号嵌入载体音频信号当中，
实现音频信号的水印。采用变换域小波变换（DWT）的技术，将音频信号进行小波变换，提取出低频分量，然后将水印嵌入到音频信号的低频当中。实验当中先在MATLAB 上面进行了仿真实验，并且通过加入噪声以及滤波等进行干扰以此检测了算法的透明性和健壮性，然后利用C 语言进行了测试，最后经
过一些修改，例如加入定时器以及进行中断的处理和加入缓冲在DSP 板子上实现了加入水印的音频声音的播放。-Audio signal watermark design to audio signal as the carrier, the carrier signal is embedded in the audio signal.
Realize audio signal watermark. The transform domain wavelet transform (DWT) technology, the audio signal wavelet transform to extract the low frequency component, and then the watermark is embedded in the audio signal of low frequency. Experiments on first in MATLAB, the simulation experiment and by adding noise and filter and so on interference to test the algorithm the transparency and robustness, and by using the C language were tested, and the
Some modification, such as join timer and interrupt handling and join buffer in DSP board to add watermark audio sound broadcast.
Platform: |
Size: 300032 |
Author:江晨城 |
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Description: 利用二维Mallat小波分解原理，对一幅标准图像进行3级分解，获取小波高/低频系数，并分别用低频分量LL1、LL2、LL3小波系数进行图像重建，分别计算这三种情况和原始图像比较地PSNR-2D Mallat wavelet decomposition principle, a standard image 3 decomposition, to obtain of Wavelet high/low frequency coefficients, and the low-frequency component LL1, LL2, LL3 wavelet coefficients of image reconstruction, these three cases were calculated and the original image.Compare PSNR Platform: |
Size: 58368 |
Author:like |
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Description: 对某一标准图像进行二维Mallat小波的3级分解，获得小波高/低频系数，分别
用低频分量LL1、LL2、LL3的小波系数进行图像重建，分别计算这三种情况
和原始图像比较的PSNR。-A standard image 3 2D Mallat wavelet decomposition, wavelet high/low frequency coefficients , respectively
Low frequency component LL1 , LL2, LL3 wavelet coefficients for image reconstruction, respectively, to calculate the three
And compared to the original image PSNR.
Platform: |
Size: 45056 |
Author:张聪聪 |
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Description: 本程序目的是对某一标准图像进行二维Mallat小波的3级分解，获得小波高/低频系数，分别用低频分量LL1、LL2、LL3的小波系数进行图像重建，分别计算这三种情况和原始图像比较的PSNR。-The purpose of this program is of a standard two-dimensional images of three Mallat wavelet decomposition, wavelet get high/low frequency coefficients, respectively, with the low-frequency component of LL1, LL2, LL3 wavelet coefficients for image reconstruction, three cases were calculated, and the original compared images PSNR. Platform: |
Size: 1024 |
Author:葛德 |
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Description: 基于B超图像，利用傅立叶变换分离低频分量，达到无损测温的目的。-Based on B-picture, the use of low-frequency component of the Fourier transform of the separation to achieve non-destructive temperature measurement purposes. Platform: |
Size: 1024 |
Author:liyong |
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Description: 对低频分量进行分块加权平均，以此完成对图像的多聚焦融合，内有图片-To block the weighted average of low frequency component, in order to complete more focus on the fusion of the images
Platform: |
Size: 97280 |
Author:营小全 |
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Description: 用巴特沃斯低通滤波器原型设计一个IIR系统，使其输出只含有低频，并显示滤波后的信号及其频谱。
-In butterworth low-pass filter prototype design a IIR system, make the output contains only low frequency component, and displays the signal after filtering and spectrum. Platform: |
Size: 1024 |
Author:ding |
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Description: 课程的目的学习了解BMP的图像的结构，学会对BMP图像进行各种处理，图像平滑是指用于突出图像的宽大区域、低频成分、主干部分或抑制图像噪声和干扰高频成分，使图像亮度平缓渐变，减小突变梯度，改善图像质量的图像处理方法。数字图像处理中图像锐化同样是一个重要的部分，其目的有两个：一是使灰度反差增强，增强图像的边缘，使模糊的图像变得清晰起来；这种模糊不是由于错误操作，就是特殊图像获取方法的固有影响。二是提取目标物体的边界，对图像进行分割，便于目标区域的识别等。通过图像的锐化，使得图像的质量有所改变，产生更适合人观察和识别的图像。-Course learning to understand the purpose of the structure of BMP image, learn to various processing of BMP image, the image smooth refers to the large area is used to highlight the image, the low frequency component, trunk or suppress image noise and interference of high frequency components, make the image brightness flat gradient, gradient decrease mutations, improve image quality of the image processing methods. Digital image processing, image sharpening, is also an important part of its purpose has two: one is to make the gray contrast enhancement, enhance image edges, makes fuzzy image become clear This fuzzy is not due to wrong operation, it is the inherent influence of special image acquisition method. 2 it is to extract the boundary of the target object, the image segmentation, to facilitate the identification of the target area and so on. Through image sharpening, makes the quality of the image change, to create more suitable for human observation and identification of the i Platform: |
Size: 2446336 |
Author:chen |
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Description: 高通滤波使低频分量得到抑制，从而达到增强高频分量，使图像的边沿或线条变得清晰，实现图像的锐化。-High-pass filter allows low-frequency component is suppressed, so as to enhance the high-frequency component image to the edges or lines become clear, for image sharpening. Platform: |
Size: 1024 |
Author:赵海鸿 |
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Description: AR滤波器滤除信号中的低频分量信号,实现降噪的目的(The AR filter filters out low-frequency component signals in the signal to achieve noise reduction.) Platform: |
Size: 3072 |
Author:了悟12 |
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Search - low frequency component