Description: 本文结合DCT变换的特性，利用分形的Peano一hilbert扫描曲线，对基于DCT变换的图像编码方法进行了研究，并提出了改进方法。主要工作分为两个部分: 一是在分块DCT基础上的改进。对分块后生成的各图像块矩阵，不直接作二维DCT变换，而是先进行扫描，使之重排成一维向量，再进行一维DCT变换，这样可以减少运算量。 其次是对层次余弦变换编码部分的改进。使用层次DCT变换与零树编码相结合的方法，并在扫描编码过程中，按Peano一hilbert扫描顺序进行编码。这样不仅可以减少“块效应”，而且可以加快编码速度。-this paper the characteristics of DCT, using fractal Peano a Hilbert scanning curve, the DCT-based image coding method for the study and improvement of methods. The work is divided into two main parts : First, the DCT block on the basis of improvements. Right after block production of the image block matrix, not for direct two-dimensional DCT, but first scan, so they line up in a heavy-dimensional vector and then a peacekeeping DCT, thus reducing the amount of computation. Secondly, the level of cosine transform coding some of the improvements. The use level of DCT and zero tree coding combination of methods, coding and scanning process, according to a Hilbert Peano code scanning sequence. This will not only reduce the "blocking effect" but we can speed up the coding speed. Platform: |
Size: 5011456 |
Author:lzy |
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Description: 直接减压到matlab\work目录下就可以看到运行结果了，其中包括了位平面分解，量化嵌入（提取），图像的金字塔分解等的程序块。-decompression directly to the Matlab \ work on the directory can see the results, which included a bit plane decomposition, quantification embedded (extraction), the image of the pyramid decomposition of the block. Platform: |
Size: 332800 |
Author:yj |
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Description: 利用矩阵的奇异值分解压缩图像，先将图像分块，对各块中的每个对应象素内积得到相关矩阵A，然后对A进行奇异值分解，选择n（n<N）个较大的特征值对应的特征向量，利用该向量与各块图像内积来压缩和恢复图像-matrix of singular value decomposition image compression, image first block of the block of each pixel corresponding to be associated with the plot matrix A, and then A singular value decomposition, the choice of n (4; N) 000 eigenvalues larger the corresponding eigenvector, the use of the Vector with the block images within the plot to image compression and restoration Platform: |
Size: 1024 |
Author:王志气 |
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Description: 分形图像压缩原始算法，包括压缩和解压。
根据Jacin的分块压缩原理-fractal image compression original algorithm, including compression and decompression. According to the sub-block Jacin compression Principle Platform: |
Size: 1024 |
Author:刘斌 |
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Description: 像素聚类区域成长法－－
顾名思义，此方法从一个种子像素开始，通过如平均灰度，组织纹理及色彩等性质的判断，将具有类似性质的像素逐一纳入所考虑的区域中，使此区域由种子逐渐成长成一个性质相似的图像区块。-pixel clustering method regional growth-- the name implies, this method from a seed pixels, through such as average gray, the color and texture organizations such as the nature of judgment, with similar to the nature of each pixel into consideration the region, so this area has gradually grown from seed into a nature similar to the image block. Platform: |
Size: 4096 |
Author:xinxin |
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Description: 几个将图像分块，将分块图像拼接，和裁减图像的实用小程序-several image block to block image mosaic, and the reduction of small images of practical procedures Platform: |
Size: 1024 |
Author:王晓甜 |
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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.
-Image Compression A collection of simple r outines for image compression using different techniques. BTCODE : Image compression Using Block Truncation Codi Vi. PYRAMID : Image compression based on Gaussian Pyramids. DCTCOMPR : Image compression based on Discrete Cosine trapidil nsform. Platform: |
Size: 9216 |
Author:like |
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Description: 稀疏分解图像重建程序，把图像分解成多个小块图像，然后再各个子块重建后边缘处理后合并成整个图像。-sparse decomposition image reconstruction process, the image is divided into a number of small images, then each sub-block redevelopment edge after the merger into the whole image. Platform: |
Size: 63488 |
Author:fanghui20006 |
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Description: （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象；
（2）将所有子图象按列相接变成一个81维的行向量；
（3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量；
（4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。
（5）求出所有子块的特征向量。
-(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector. Platform: |
Size: 64512 |
Author:ly |
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Description: 利用Sub-pattern PCA在Yale人脸库上进行人脸识别的matlab源代码，子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-pattern PCA use in the Yale face database for face recognition on the matlab source code, sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image Set the use of PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification. Platform: |
Size: 2048 |
Author:章格 |
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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.
Platform: |
Size: 10240 |
Author:林明 |
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Description: extract file
and the working is to get dct matrix of 256*256 image which is divide into each 8*8 image block Platform: |
Size: 1024 |
Author:sudhir kumar |
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Description: 文中的方法是把图像分块，小波分解得到低频分量、高频分量，然后计算每一块的对比度，把图像块划分为清晰块、模糊块，把清晰块和模糊块相邻的区域定义为边界区域，融合时，直接选取清晰块作为融合后的相应块，对于边界区域，在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then calculate the contrast of each piece, the image block is divided into clear blocks, fuzzy block, to clear blocks and fuzzy block is defined as the border region adjacent to area, integration time, a clear block directly select the corresponding block as a fusion, for the border region, the wavelet decomposition on the basis of the pixel-based contrast method selected for processing. Platform: |
Size: 338944 |
Author:许国柱 |
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Search - image block matlab