Description: Image Compression
A collection of simple routines for image compression using different techniques.
图象压缩的不同方法
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. Platform: |
Size: 10228 |
Author:王云云 |
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Description: Overlap save method for convolution of long sequences and study of characteristics of window functions Platform: |
Size: 1024 |
Author:ik |
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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. Platform: |
Size: 56320 |
Author:依米 |
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Description: NDNANFILTER N维零相位数字滤波器，忽略NaN的。
短语法：
[年，钨] = ndnanfilter（十，HWIN，女）
短输入：
X - 有/无NaN的多维数据。
HWIN - 窗口的名称（默认情况下移动平均的Nd： rectwin ）。
的F - 向量指定为每个维窗口半宽度。
短暂输出：
Ÿ - 过滤/平滑X数据与零相移（如X!一样大小）。
W - N维是通过一种特殊的子函数生成的中心对称的窗口称为NDWIND。
简短描述：
此功能适用于一对X与W N维卷积，利用MATLAB的IMFILTER或CONVN功能，忽视/插值/灌装NaN的。
默认情况下，边缘与在与PADARRAY MATLAB的函数的边界的X值填充。当PADARRAY没有找到，该程序执行零填充。
简短说明：
*见截图。-NDNANFILTER N-dimensional zero-phase digital filter, ignoring NaNs.
SHORT SYNTAX:
[Y,W] = ndnanfilter(X,HWIN,F)
SHORT INPUT:
X- Multidimensional data with/without NaNs.
HWIN- Window s name (N-D moving average by default: rectwin ).
F- Vector specifying the semi-width of the window for each dimension.
SHORT OUTPUT:
Y- Filtered/smoothed X data (same size as X!) with zero phase shift.
W- N-dimensional window with central symmetry generated by a special subfunction called NDWIND.
SHORT DESCRIPTION:
This function applies a N-dimensional convolution of X with W, using the MATLAB s IMFILTER or CONVN function, ignoring/interpolating/filling NaNs.
By default, the edges are padded with the values of X at the borders with the PADARRAY MATLAB s function. When PADARRAY is not found, the program performs zero-padding.
SHORT NOTE:
* See the screenshot.
Platform: |
Size: 6144 |
Author:namind |
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Description: 编程环境为matlab2007,通过在Command Window中直接录入数据，实现两个数字信号的圆周卷积。-Programming environment for matlab2007, in the Command Window by directly input data, digital signals to achieve the two circular convolution. Platform: |
Size: 1024 |
Author:董晓曦 |
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Description: 本文主要讲讲怎样对Mat矩阵进行mask操作，其实也就是对Mat矩阵的滤波操作，俗称卷积，参考文献为opencv自带的tutiol及其code.
开发环境：ubuntu12.04+opencv2.4.2+Qt4.8.2+QtCreator2.5.
实验功能：
单击Open image按钮，手动选择所需滤波的原图片。
单击Setting按钮，弹出对话框，选择滤波所用的模式，这里有2种模式，分别为自己实现滤波功能和采用opencv自带的滤波函数filter2D实现。
单击Process按钮，实现图片滤波过程，并将滤波结果显示在图片窗口中。
滤波完成后，图片下方法显示滤波所采用的模式及其花耗的时间。可以方便对2种模式的效率进行对比。
-In this paper, talk about how Mat Matrix mask operation is on the Mat matrix filtering operation, commonly known as the convolution the Reference opencv comes tutiol its code development environment: ubuntu12.04+opencv2.4.2+Qt4.8.2+QtCreator2 .5. experimental feature: click Open image button, manually select the desired filtering the original image. Click Setting button, pop-up dialog box, select the filter mode, where there are two kinds of mode, respectively, for their own filtering and adoption the opencv comes filtering function filter2D the Click the Process button, the image filtering process, and filter results are shown in the picture window. After the completion of the filter, under the picture display mode used by the filter and its time spent a. Can easily compare the efficiency of the two kinds of patterns. Platform: |
Size: 163840 |
Author:wuwei |
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Description: 边缘是图像中最重要的信息，是模式识别、图像分
割以及场景分析的重要基础。边缘检测是图像处理领
域一项重要的技术和任务。图像中边缘通常解释为灰
度值有突然改变，像素梯度具有局部极大值。很多经
典的边缘检测算子如:Roberts, Sobel, Prewitt, Frei-
Chen和Laplacian等，均以图像局部区域特征与特定
边缘模式匹配为基础，定义数个方向导数模板(一般为
窗口)，将图像与模板进行卷积运算实现边缘检测。它
们具有实现简单，速度快速，易于应用的特点。当模板
方向与边缘方向相匹配时，能取得非常有效的边缘检
测结果。
-The edge is the most important information in the image, and is an important basis for pattern recognition, image segmentation and scene analysis. Edge detection is an important field of image processing technologies and tasks. Edge in the image is usually interpreted as grayscale values sudden changes in pixel gradient local maxima. Many classic edge detection operators such as: Roberts, Sobel, Prewitt, Frei-Chen and Laplacian, etc., are the image of local regional characteristics specific edge pattern matching based on the definition of a number of directional derivative template (usually a window), the image convolution operation of edge detection with a template. They have a simple, fast speed, easy to apply. When the template direction and the edge direction matches, can achieve very efficient edge detection result. Platform: |
Size: 2691072 |
Author:zhk |
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Description: 边缘是图像中最重要的信息，是模式识别、图像分
割以及场景分析的重要基础。边缘检测是图像处理领
域一项重要的技术和任务。图像中边缘通常解释为灰
度值有突然改变，像素梯度具有局部极大值。很多经
典的边缘检测算子如:Roberts, Sobel, Prewitt, Frei-
Chen和Laplacian等，均以图像局部区域特征与特定
边缘模式匹配为基础，定义数个方向导数模板(一般为
窗口)，将图像与模板进行卷积运算实现边缘检测。它
们具有实现简单，速度快速，易于应用的特点。当模板
方向与边缘方向相匹配时，能取得非常有效的边缘检
测结果。
-The edge is the most important information in the image, and is an important basis for pattern recognition, image segmentation and scene analysis. Edge detection is an important field of image processing technologies and tasks. Edge in the image is usually interpreted as grayscale values sudden changes in pixel gradient local maxima. Many classic edge detection operators such as: Roberts, Sobel, Prewitt, Frei-Chen and Laplacian, etc., are the image of local regional characteristics specific edge pattern matching based on the definition of a number of directional derivative template (usually a window), the image convolution operation of edge detection with a template. They have a simple, fast speed, easy to apply. When the template direction and the edge direction matches, can achieve very efficient edge detection result. Platform: |
Size: 32768 |
Author:zhk |
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Description: design of:
1.butterworth bandpass filter
2.butterworth bandstop filter
3.butterworth lowpass filter
4.butterworth highpass filter
for the given specifications using matlab
design of:
1.hilbert transformer
2.differentiator
using matlab
frequency response of lowpass filter using kaiser window in matlab
representation of basic signals using matlab
convolution of two sequences using matlab-design of:
1.butterworth bandpass filter
2.butterworth bandstop filter
3.butterworth lowpass filter
4.butterworth highpass filter
for the given specifications using matlab
design of:
1.hilbert transformer
2.differentiator
using matlab
frequency response of lowpass filter using kaiser window in matlab
representation of basic signals using matlab
convolution of two sequences using matlab
Platform: |
Size: 4096 |
Author:Ashwin S Raj |
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Description: 1. “信号处理实验室”是由NI开发，针对信号处理、信号与系统、通讯原理等课程量身订做的课程套件，其中包括了卷积、混叠、窗函数分析、栅栏效应、IIR、FIR、AM/FM调制、倒谱等等50多个从基础到高级的信号处理知识点的演示程序。有助于教学演示使用，帮助学生理解。
2. 本课件可直接打开并运行。
3. 本课程套件是exe文件\,如需帮助或免费提供源代码，可与NI技术市场工程师倪斌(bin.ni@ni.com)进一步联系。
-Signal processing laboratory curriculum kit developed by NI tailored for signal processing, signal systems, communication theory courses, including convolution aliasing, window function analysis, fence effect, IIR FIR, AM/FM modulation cepstrum over 50 demo program from basic to advanced signal processing knowledge. Help teaching demonstration use to help students understand. This courseware can directly open and running. This course package exe file \ For help or provide free source code, and NI Technical Marketing Engineer (bin.ni @ ni.com), Ni Bin further contact. Platform: |
Size: 22792192 |
Author:周鹏 |
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Description: 变采样和多相滤波器的实现。本程序实现了一个变采样程序，中间设计滤波器设计和插值抽取。其中滤波器设计用的是窗函数法，根据要求设计窗函数，得到窗函数的长度。接着是插值，滤波，抽取，得到最后变采样之后的波形文件、另外对比了用直接卷积和多相分解卷积两种方法最后的结果。
-Implementation of variable sampling and polyphase filter. This procedure implements a variable sampling procedures, intermediate design and interpolation and decimation filter design. The filter design is using the window function method, according to the requirements of the design of window function, get the length of the window function. Then the interpolation, filtering, extraction, and finally obtain the variable wave file, sampling after the addition of contrast and polyphase decomposition results of two methods for convolution last direct convolution. Platform: |
Size: 261120 |
Author:袁斌 |
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Description: 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.-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. Platform: |
Size: 9216 |
Author:keyvan |
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Description: 1.对于两个序列：x(n)=n R16(n),h(n)=R8(n)
（1）在同一图形窗口中绘出两序列的时域图形。
（2）利用FFT编程计算两序列的线性卷积，绘出的时域图形。
-1. For two sequences: x (n) = n R16 (n), h (n) = R8 (n)
(1) draw the two sequences in the same time-domain graphics window graphics.
(2) calculation of the linear programming using the FFT convolution of two sequences of time domain graph plotted. Platform: |
Size: 3072 |
Author:李闯 |
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Search - window for convolution