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: 9839 |
Author:like |
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Description: Sobel算子：是一种空域微分算子，可以通过它锐化图象。
将图象分块(8*8),作DCT变换,并作IDCT：DCT是一种可分离图象变换，用来图象压缩编码。-Sobel Operator : airspace is a differential operator, through its image sharpening. Image will block (8 * 8), for the DCT and IDCT for : DCT is a separable Image Transform, used to image compression coding. Platform: |
Size: 1956 |
Author:xuhua |
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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 |
Hits:
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: 10066 |
Author:林明 |
Hits:
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: 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 |
Hits:
Description: Sobel算子：是一种空域微分算子，可以通过它锐化图象。
将图象分块(8*8),作DCT变换,并作IDCT：DCT是一种可分离图象变换，用来图象压缩编码。-Sobel Operator : airspace is a differential operator, through its image sharpening. Image will block (8* 8), for the DCT and IDCT for : DCT is a separable Image Transform, used to image compression coding. Platform: |
Size: 2048 |
Author:xuhua |
Hits:
Description: 使用二维离散余弦变换(DCT)进行图象压缩。原始图象被转换成为8*8大小的块进行压缩和重构。 Cnum:为压缩时保留的系数的个数 MSM:均方误差压缩应该做到在最合理的近似原图象的情况下使用最少的系数。函数：dctmtx:返回一个n*n阶DCT变换 blkproc:对图象进行不同的块处理。 im2col:重排图象块为矩阵列。注意：只适用于灰度图象。-The use of two-dimensional discrete cosine transform (DCT) for image compression. Original image is converted to become the size of 8* 8 block compression and reconstruction. Cnum: reservations for the compression factor of the number of MSM: mean square error compression should be done in the most reasonable approximation of the original image using the least coefficient. Function: dctmtx: returns an n* n-order DCT transform blkproc: image processing of different blocks. im2col: rearrangement of the matrix block out images. Note: only applicable to grayscale images. Platform: |
Size: 3072 |
Author:hff |
Hits:
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 |
Hits:
Description: 基于小波变换的图像压缩变换
编码最常用的有子带编码和块编码，本实验做了基于小波变换的子带压缩部分。-Based on wavelet transform image compression transform coding has the most commonly used sub-band coding and block coding, to do this experiment based on the wavelet transform part of the sub-band compression. Platform: |
Size: 51200 |
Author:吴亚鹏 |
Hits:
Description: 用matlab做的基于DCT变换的图像压缩源码，先把图像分成8X8 的子块，然后做DCT变换，再量化，在恢复重建图像-Using matlab to do DCT-based transform image compression source code, first image is divided into 8x8 sub-block, and then make DCT transform, and then quantified, at the resumption of the reconstructed image Platform: |
Size: 1024 |
Author:张子木 |
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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-A series of image compression technology to display the source code. Include: the use of block truncation coding for image compression (Block Truncation), based on the Gaussian pyramid transform for image compression (Gaussian Pyramids), based on the discrete cosine transform for image compression (Discrete Cosine Transform), based on singular value decomposition (SVD) Image compression (Singular Value Decomposition). Given code can also be used in 2D image noise cancellation Platform: |
Size: 44032 |
Author:李远 |
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Description: DCT变换程序，将一组给定的8*8图像块经过DCT变换为另一个8*8矩阵，并计算输出压缩比。-DCT transform process, a given set of 8* 8 image block after DCT transform for another 8* 8 matrix, and calculate the output compression ratio. Platform: |
Size: 2048 |
Author:ziyoutian |
Hits:
Description: 图像变换 将图象分块(8*8)，作DCT变换，并作IDCT：DCT是一种可分离图象变换，用来图象压缩编码，IDCT用来解压缩-Image transform to image sub-block (8* 8), for the DCT transform, and IDCT: DCT is a separable transform image to image compression coding, IDCT used to extract Platform: |
Size: 17408 |
Author:陈杰 |
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Description: 个人收集的FPGA图像压缩算法包，包括内容主要为图像压缩算法DWT 离散小波变换
DCT 离散余弦变换
SHIHT 多级树集合划分
EBCOT优化截取的嵌入式块编码等-Personal collection of image compression algorithm for FPGA package, including the contents of the main image compression algorithm for the discrete wavelet transform DWT discrete cosine transform DCT multi-level tree SHIHT set partitioning optimization interception EBCOT Embedded Block Coding, etc. Platform: |
Size: 6079488 |
Author:sdf |
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Description: 将图象分块(8*8)，作DCT变换，并作IDCT：DCT是一种可分离图象变换，用来图象压缩编码，IDCT用来解压缩。-The image sub-block (8* 8) for the DCT transform, and to make IDCT: DCT is a separable image transformations, is used to image compression coding, IDCT is used to decompress. Platform: |
Size: 7168 |
Author:zy |
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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 |
Hits:
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。-Series show the source code for image compression technology. Include: use of block truncation coding for image compression (Block Truncation), Gaussian pyramid transform based image compression (Gaussian Pyramids), based on the discrete cosine transform image compression (Discrete Cosine Transform), based on singular value decomposition (SVD) image compression (Singular Value Decomposition). The code given 2D image can also be used for noise cancellation. Platform: |
Size: 61440 |
Author:程擎 |
Hits:
Description: DCT and Image Compression
In the JPEG image compression algorithm, the input image is divided into
8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each
block. The DCT coefficients are then quantized, coded, and transmitted. The
JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients,
computes the inverse two-dimensional DCT of each block, and then puts the
blocks back together into a single image. For typical images, many of the
DCT coefficients have values close to zero these coefficients can be discarded
without seriously affecting the quality of the reconstructed image.
The example code below computes the two-dimensional DCT of 8-by-8 blocks
in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients
in each block, and then reconstructs the image using the two-dimensional
inverse DCT of each block. The transform matrix computation method is used.- DCT and Image Compression
In the JPEG image compression algorithm, the input image is divided into
8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each
block. The DCT coefficients are then quantized, coded, and transmitted. The
JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients,
computes the inverse two-dimensional DCT of each block, and then puts the
blocks back together into a single image. For typical images, many of the
DCT coefficients have values close to zero these coefficients can be discarded
without seriously affecting the quality of the reconstructed image.
The example code below computes the two-dimensional DCT of 8-by-8 blocks
in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients
in each block, and then reconstructs the image using the two-dimensional
inverse DCT of each block. The transform matrix computation method is used. Platform: |
Size: 1024 |
Author:Eldhose |
Hits:
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 |
Hits:
Search - Block Transform for Image Compression