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任意2的幂次方长度数据快速dct
- 一般的快速DCT算法只有8点和16点的,我这里提供任意长度(2的幂次方)的DCT快速算法原代码-general fast DCT algorithm only 8:00 and 16:00, and here I am of arbitrary length (two of the power law) DCT fast algorithm source code
Compression
- 几种常用的压缩算法 本程序包含以下功能: 1、 Arithmetic coding 2、 Huffman coding 3、 LZ77 coding 4、 LZ78 coding 5、 LZW 6、 RLE 7、 DCT 8、 Furie transform
workingjpeg.zip
- JPEG DCT based baseline method which divides the image into 8x8 blocks and quantize anthen entropy coded.,JPEG DCT based baseline method which divides the image into 8x8 blocks and quantize anthen entropy coded.
JPEG.rar
- 图像JPEG压缩算法,由8*8DCT变换,调用量化表进行量化,最后由Huffman编码完成算法,JPEG image compression algorithm, the 8* 8DCT transform, quantization table calls to quantify, and finally completed by the Huffman coding algorithm
DCT
- 图像的基于8*8分块的DCT变换编码 MATLAB编程环境 -Images based on 8* 8 block of DCT transform coding MATLAB programming environment
DCT
- 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.
jpegc
- 本文档实现了JPEG压缩算法,字组织比较简陋, 大体上分成 3 个部分. 压缩算法简介 1. 色彩模型 2. DCT (离散余弦变换) 3. 重排列 DCT 结果 4. 量化 5. 0 RLE 编码 6. 范式 Huffman 编码 7. DC 的编码 解码过程简述 8. 一个数据单元 Y 的解码 9. JPG 文件(Byte 级)里怎样组织图片信息 10. 关于标记 11. JPG 文件中 Haffman 表的储存
dct
- extract file and the working is to get dct matrix of 256*256 image which is divide into each 8*8 image block
dct
- M=512 原图像长度 N=64 K=8 I=zeros(M,M) J=zeros(N,N) BLOCK=zeros(K,K) 显示原图像 I=imread( f:\ceshi\yuanshitu.bmp ) figure imshow(I) xlabel( 原始图像 ) 显示水印图像 J=imread( f:\ceshi\logistic_nuaa64.bmp ) figure imshow(J) xlabel(
DCT
- 读入一幅256*256图像,将它分成8*8pixel的若干块,对每块做DCT变换,保留Z型顺序的若干变换系数,进行IDCT重构图像,计算重构图像的信噪比-Reading a 256* 256 image, it will be divided into several blocks of 8*8 pixel, keep each optimal Z transformation of sequence number, IDCT transform coefficient calculation
3971017DCT
- 对原始灰度图像 Lena_gray.bmp进行图像压缩实验 1.对此图进行 8×8 DCT 变换后,分别只保留 DC系数,以及保留前 4、8、16 个变换系数(DC+AC) ,然后再分别进行 IDCT 变换,比较结果。 2.可以使用 Matlab - Image Processing Toolbox 中的函数实现。-gray image of the original image compression Lena_gray.bmp an experiment. This diagram 8 8
matlab_watermark
- 本文算法是将24 位真彩图的亮度分量分块 DCT ,然后利用DCT 量化系数的奇偶特性嵌入8 位灰度水印图,并通过PN 序列加密来保证水印的 安全性。算法中,将灰度图像转换为二进制数据 流,置乱后扩频调制,隐藏在宿主DCT 系数量化值 中,提取时不需要宿主信号,实现水印信号的盲提 取。-This algorithm is 24-bit true color pictures of the luminance component of block DCT, quantiza
DCT
- ce code permet de cacluler les coefficiants de la dct dans un block 8*8 aisni selectionner les coefficients par un balyage zigzag
DCT-for-image-compression-
- 利用DCT进行图像压缩(首先将图像分割成8×8的图像,对每个子图像进行DCT,这样每个子图像有64个系数,舍去50%小的变换系数,进行2:1的压缩。)-Using DCT for image compression (first image into 8 × 8 image, for each sub-image DCT, so that each sub-image by a factor of 64, rounding 50 of the small transform coefficie
dct
- 在8*8子图像块前提下,不同压缩比对图像压缩效果的影响-8* 8 sub-image block under the premise of different compression than the image compression
DCT-a-Hamming-coding
- 1.DCT变换,对整个图像的直接DCT变换和分块为8*8做DCT变换,并设定阈值。 2.汉明编码(7,4),译码以及找出错误图样和纠错。并在不同的转移概率的BSC道下进行传输。-DCT:Direct DCT and IDCT,blocking. hamming coding:decoding and picking up errors.
DCT
- 将一个512×512的lena.bmp图像进行DCT变换,对得到的DCT系数按8×8块进行分层(分三层),重组填充得到新的系数矩阵,结果发现原图像的能量集中在了新图像的左上角低频部分。-The lena.bmp an image of 512 × 512 is subjected to DCT transform, the DCT coefficients obtained by layering 8 × 8 block (of three), to obtain a new recombina
DCT-and-Image-Compression
- 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 trans
DCT
- 1、针对图像,按8*8块,进行DCT,对比不同有效系数(1、3、10、36)下重建质量,给出有效系数下的MSE误差曲线; 2、给出对应的基图像(64个8*8图像)。-Compare the quality of different effective reconstruction coefficient (1,3,10,36), the MSE error curve is given under the effective coefficient 2, to give
DCT-transform-of-the-image
- 对cameraman.tif图像进行DCT变换,分别选取最大的1/4、1/8、1/16个变换系数(其余置为0),进行反DCT得到重构图像,显示原图像和各重构图像并分别计算重构图像的峰值信噪比。-Cameraman.tif DCT transform of the image, were selected maximum 1/4,1/8,1/16 transform coefficients (the remainder is set to 0), inverse DCT to obtain th