Description: 用matlab做的三维视频压缩编码算法，希望对大家有帮助-Using matlab to do three-dimensional video compression coding algorithm, in the hope that everyone has to help Platform: |
Size: 8192 |
Author:andandan |
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Description: dct and idct for image.matlab实现信息序列的嵌入和提取-dct and idct for image.matlab realize embedded information and extract sequence Platform: |
Size: 2048 |
Author:wubaishan |
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Description: 用matlab进行视频读取的程序，并附有c语言程序，很有价值。-Using matlab to read the procedures for video, together with c language program, very valuable. Platform: |
Size: 18432 |
Author:zhang |
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Description: 已知两个不同图像块亮度数据如下：
（1）分析DCT原理，采用DCT方法，编程并计算相应的DCT系数，分析系数分布特点。
（2）依据视觉特性分析量化表步长的分布特点，完成DCT系数量化。
（3）采用Z形扫描，实现输出数据的统计编码，形成Video stream。
（4）采用IDCT重建图像亮度数据，计算SAD大小，分析产生误差的原因及采用DCT进行数据压缩的原理。（ ）
（5）分别利用左上角1、3、6个系数重建图像，计算相应的SAD，并由此分析直流和低频系数的重要性。
-Known brightness of two different image data block is as follows: (1) Principles of analysis of DCT, the DCT method, program and calculate the corresponding DCT coefficient, analysis of distribution coefficients. (2) quantitative analysis based on visual characteristics of the distribution of long-form features step-by-step to complete the DCT coefficient quantization. (3) the use of Z-scan output data to achieve statistical encoding, the formation of Video stream. (4) the use of the reconstructed image brightness IDCT data to calculate the SAD size, analysis of the causes of errors and the use of DCT for the principle of data compression. () (5), respectively, a factor of 1,3,6 using the upper left corner of the reconstruction of images, calculating the corresponding SAD, and the resulting analysis of DC and the importance of low-frequency coefficients. Platform: |
Size: 1024 |
Author:张元 |
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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: Video Compression using Content-Based Motion Compensation
---------------------------------------------------------
This demo Requires MATLAB (and the Image Processing Toolbox)
Tested on MATLAB 7.0 (R14).
Run one of the following three MATLAB scripts:
* DemoEncodeCrowd (encodes some frames from the "crowd" sequence)
* DemoDecodeCrowd (decodes the previously encoded frames)
* DemoDecode (generic decoder)
Note that the encoding script can be modified so that the user can specify the values of a number of input variables.
This code is VERY SLOW. A lot could be done to speed it up!
In MS-Windows, use the YUV file player to view YUV files.
-----------------------------------------
Based on the PhD Research of Marc Servais
www.ee.surrey.ac.uk/CVSSP/VMRG/hdtv/
-Video Compression using Content-Based Motion Compensation
---------------------------------------------------------
This demo Requires MATLAB (and the Image Processing Toolbox)
Tested on MATLAB 7.0 (R14).
Run one of the following three MATLAB scripts:
* DemoEncodeCrowd (encodes some frames from the "crowd" sequence)
* DemoDecodeCrowd (decodes the previously encoded frames)
* DemoDecode (generic decoder)
Note that the encoding script can be modified so that the user can specify the values of a number of input variables.
This code is VERY SLOW. A lot could be done to speed it up!
In MS-Windows, use the YUV file player to view YUV files.
-----------------------------------------
Based on the PhD Research of Marc Servais
www.ee.surrey.ac.uk/CVSSP/VMRG/hdtv/
-----------------------------------------
Platform: |
Size: 19207168 |
Author:mohammad665 |
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Description: 实现了图像的灰度化并进一步用于视频监视控，用MATLAB实现动态聚类或迭代自组织数据分析，包括压缩比、运行时间和计算复原图像的峰值信噪比。- Achieve a grayscale image and further control for video surveillance, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including compression ratio, image restoration computing uptime and peak signal to noise ratio. Platform: |
Size: 5120 |
Author:梁鸣 |
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Search - video compression using matlab