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tuxiangyasuo
- （1）试利用函数dct2，对该图像进行压缩。压缩时可尝试对DCT 变换后的系数采用不同取舍方法，比较其压缩性能。（函数dct2在matlab本身是有的，可以help dct2看看） （2）结合课本例8.7.2 的量化方法，对每一个经DCT变换后的8×8 矩阵量化（Huffman编码部分可省略），从而实现图像压缩。在一定压缩比的情况下，和⑴给出的图像质量相比较。 （3）用所给的子子程序fast_LOT.m 实现对该图像的变换与压缩，并和（1）得出的图像质量相比较-(1) Test usin
Image-Compression
- 图像压缩实验，实现基本JPEG的压缩和编码的三个步骤，DCT变换去除数据冗余，DCT系数进行量化，对量化后的系数进行Huffman编码-Image compression experiments, the three steps of the basic JPEG compression and encoding, DCT transform to remove data redundancy, and the DCT coefficient quantization, Huffman codi
openjpeg-2.0.0-win32-x86
- JPEG 2000 encoding and decoding, DCT, quantization, encoding entropic, huffman, arithmetique, wavelets coefficients
jpegcodec
- jpeg coder and decoder with out using block proc function.Reading the image into 8x8 blocks and apllied the DCT transform and quantization using quantization tables.After that seperation of DC and AC coefficients and I applied the DPCM for DC coeffci
A-Watermarking-Algorithm(MATLAB)--
- 盲水印提取时不需要参考原始载体图像,在信息隐藏、版权保护等方面具有更广泛的应用前景。提出的盲水印算法在分块离散余弦变换(DCT)和离散小波变换(DWT)的基础上,利用关系双方DCT系数和DWT系数在受到攻击时具有相同变化趋势的特点,采用关系嵌入和量化嵌入的自适应选择嵌入策略,较大幅度地提高了盲水印提取的鲁棒性。同时在量化嵌入中采用抖动调制,实现了水印透明性和鲁棒性调节的便捷性。大量仿真实验结果表明该算法对噪声干扰、低通滤波、JPEG压缩、对比度增强等攻击有很好的鲁棒性和透明性。关键词 数字水印盲
AC_Huffman
- 关于JPEG环境下的DCT变换下的AC系数编码中的各种详细思路和代码-JPEG environment on the AC DCT transform coefficients encoded in a variety of detailed ideas and code
jidctflt
- Perform dequantization and inverse DCT on one block of coefficients for Linux.
jpeg
- 本代码由matlab语言编写，实现了jpeg算法，主要为了说明基本的JPEG功能。经过DCT变化，量化，进行DPCM编码，然后之字形扫描AC系数，进行行程（LZW）编码。 显示原始图象和经编码解码后的图象，显示压缩比，并计算均方根误差。-The code consists of matlab language, to achieve a jpeg algorithm, mainly to illustrate the basic functionality of JPEG. After chan
dct2
- 对girl图像做二维DCT，并通过对变换后的某些系数置零达到压缩目的-Girl doing two-dimensional images of the DCT, and through certain coefficients transformed to achieve compression purpose of nulling
DCTyuzhi
- DCT变换：变换域系数选取采用阈值编码，：阈值越小，图像恢复效果越好，但压缩效果差，一般取在5-10 即可很好的获得恢复图像信息。-DCT transform: transform domain coefficients selected using the threshold coding: the smaller the threshold value, the better the image restoration, but the compression is poor, and ge
Code_20_02_14
- This paper proposes and evaluates a promising technique used for liver segmentation that can be used as the first step in liver treatment planning. It is based on texture feature analysis obtained from 3D DCT block coefficients, support vecto
Removing-the-Blocking-Artifacts-of
- One of the major drawbacks of the block-based DCT compression methods is that they may result in visible artifacts at block boundaries due to coarse quantization of the coefficients. -Simulation results show that the proposed algorithm significantly
dft
- 其中dft.m 是通过该程序同时输出图片1,2的R、G、B三通道的DFT正反变换图、相角图、幅度图，图片1,2的彩色DFT正反变换图以及DFT后图片1,2幅度相位信息置换后的彩色结果图。 dct.m是通过该程序显示“实验室用原图像”中的图片3的R、G、B三通道DCT正反变化对比图，变换系数图以及彩色DCT正反变换图。 compress.m是通过该程序输出图片3的保留n个DCT变换系数重构彩色结果图。需要说明的是其中决定保留系数个数n的mask矩阵需要手动更改。-Wherein
3.2DCT
- 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
Image_Fusion_Max_Num
- Multi Focus Image Fusion Based on DCT transform by Maximum Number of High Valued AC Coefficients
traps
- Perform dequantization and inverse DCT on one block of coefficients by SSE.
DCT_verilog
- DCT是数字图像处理中的一种基础算法，实现从时域到频域的转换，从而去掉时域中数据的相关性，有利于量化后对变换系数采用游程编码和Huffman编码。-DCT is a digital image processing a basic algorithm to achieve the conversion the time domain to the frequency domain, and thus remove the domain relevance of data in favor of
YUV_xishu
- 用matlab读取YUV文件，DCT变换之后并存取其系数-Read YUV files with matlab, and after DCT transform and access its coefficients
myDCT
- 用解析式定义或矩阵式定义自行编写进行二维DCT和离散沃尔什-哈达玛变换的函数。 在Matlab中对给定图像进行二维离散傅立叶变换，并显示其居中的频谱图，可用Matlab自带函数进行实验。 分别用Matlab自带的dct2()和idct2()对给定图像进行二维DCT变换，并以图像的形式显示其变换系数矩阵。 -And the preparation of two-dimensional DCT is defined analytically discrete Wals
nsf5_simulation
- cover image (grayscale JPEG image) resulting stego image that will be created relative payload in terms of bits per nonzero AC DCT coefficient seed for the random walk over the coefficients efficiency,changes