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Description: 当要隐藏信息时,在MATLAB的命令窗内输入命令: hide = myhide(carry,signal,x,y)； carry 用你的原始载体文件名代替，signal 用你所要隐藏的文件名代替 carry 和 signal 都必须是 *.* 的形式（注意不能省略单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处 生成的伪装载体文件名为hide.bmp 注意myhide.m文件，载体文件，隐藏文件都要在当前目录(current Directory)下 当要提取信息时，在MATLAB命令窗内输入命令： behidden = myinhide(carry,x,y)； carry 用你的伪装载体文件名代替,格式为 *.* （注意不要丢掉单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处，这必须和嵌入时所选位置一致。 提取出的信息文件名为behidden.bmp 同样，要注意behidden.m和伪装载体文件都要在当前目录(current Directory)下-when to hide information, in order MATLAB within a window orders : hide = myhide (carry, signal, x, y); Carry with you the original document name instead vector, signal used to hide your name in the paper and instead carry signal must be in the form of *.* ( not to single quotes omitted) x, y is to select the location of hidden information coordinates (x, y) and (y, x) The formation of camouflage vector document, entitled hide.bmp attention myhide.m documents, vector documents hidden all the documents in the current directory (current Directory) to retrieve information when, in order window MATLAB import order : behidden = myinhide (carry, x, y); carry using your camouflage vector file name instead, the format for *.* (take care not to lose a single quote) x, y election Hiding information
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Author: 韩飞 |
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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.
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Author: lzy |
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Description: 当要隐藏信息时,在MATLAB的命令窗内输入命令: hide = myhide(carry,signal,x,y)； carry 用你的原始载体文件名代替，signal 用你所要隐藏的文件名代替 carry 和 signal 都必须是 *.* 的形式（注意不能省略单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处 生成的伪装载体文件名为hide.bmp 注意myhide.m文件，载体文件，隐藏文件都要在当前目录(current Directory)下 当要提取信息时，在MATLAB命令窗内输入命令： behidden = myinhide(carry,x,y)； carry 用你的伪装载体文件名代替,格式为 *.* （注意不要丢掉单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处，这必须和嵌入时所选位置一致。 提取出的信息文件名为behidden.bmp 同样，要注意behidden.m和伪装载体文件都要在当前目录(current Directory)下-when to hide information, in order MATLAB within a window orders : hide = myhide (carry, signal, x, y); Carry with you the original document name instead vector, signal used to hide your name in the paper and instead carry signal must be in the form of*.* ( not to single quotes omitted) x, y is to select the location of hidden information coordinates (x, y) and (y, x) The formation of camouflage vector document, entitled hide.bmp attention myhide.m documents, vector documents hidden all the documents in the current directory (current Directory) to retrieve information when, in order window MATLAB import order : behidden = myinhide (carry, x, y); carry using your camouflage vector file name instead, the format for*.* (take care not to lose a single quote) x, y election Hiding information
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Size: 203776 |
Author: 韩飞 |
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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.
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Author: lzy |
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Description: 该程序用于实现h.264中的DCT变换、量化、反DCT变换、反量化 采用了h.264白皮书中介绍的算法-the procedures used to achieve h.264 of DCT, quantization, anti- DCT, quantization using the anti-h.264 White Paper introduced by the algorithm
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Author: 王全明 |
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Description: 完整的jpeg encoder verilog code,DCT部分採用1991 IEEE transection paper,利用skew circular convolution來實現精簡電路-complete jpeg encoder Verilog code, DCT is partly based on the IEEE 1991 transection paper, using skew circular convolutions to achieve streamlining circuit
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Size: 25600 |
Author: 李寧 |
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Description: 一个用DCT的数字水印毕业论文。本文重点研究了基于DCT的低频水印算法、基于DCT的中频水印算法和基于DCT的自适应视频水印方案。-DCT with a digital watermark dissertation. This paper focuses on the low-frequency DCT-based watermarking algorithm, IF DCT-based watermarking algorithms and DCT-based Adaptive Video Watermarking program.
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Author: 1111111 |
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Description: 数字水印技术近年来得到了较大的发展,基于变换域的水印技术是目前研究的热点。该文提出了一种基于DCT域的自适应水印算法。实验结果表明,这种算法具有良好的性能,实现的水印具有不可见性,而且具有较好的鲁棒性。
-digital watermarking technology in recent years has been substantial development, based on the transform domain watermarking technology is a hot topic at present. The paper presents a DCT-based Adaptive watermarking algorithm. Experimental results show that the algorithm has good performance, the watermark is invisible, but also better robustness.
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Author: my name |
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Description: 一维DCT变换的verilog源码，可用于JPEG算法优化的参考。程序中用到的算法称为“扭卷积”，可参考相关IEEE paper-One-dimensional DCT transform Verilog source code can be used to optimize the JPEG algorithm reference. Procedures used in the algorithm known as the
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Size: 54272 |
Author: 楚天 |
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Description: 本文以DCT变换为基础，提出一种可以适用于不同网络传输环境下的分层编码方法。基于系数重要性的分层编码根据域中系数重要程度不同和信道传输特性，有选择地舍弃部分系数达到分层压缩的目的；基于比特平面的分层编码通过分析系数的比特平面，按照比特平面进行分层，根据设置的参数实现不同质量的图像压缩编码。 -In this paper, DCT transform based on a can be applied to different network environment layered coding method. Coefficient based on the importance of layered coding domain coefficients in accordance with the importance of different transmission characteristics and channel selectively discard some coefficient layered compression purposes bit plane based on the layered coding coefficient by analyzing the bit-plane, in accordance with the bit-plane stratified, in accordance with the parameters set to achieve different quality of image compression coding.
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Author: thao |
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Description: 本文介绍了数字图像压缩方法对比研究
Huffman编码
LZ77压缩算法
离散余弦变换（DCT）
RLE编码
-In this paper, digital image compression method comparative study of Huffman coding compression algorithm LZ77 discrete cosine transform (DCT) RLE encoding
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Author: wz |
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Description: 摘 要
文章以空间监控系统为背景,深入研究了JPEG图像压缩标准的实现方法,并基于FPGA对其进行了实现和优化。文中给出了详细的实现方法和优化过程,测试表明达到了很好的效果。
简单介绍了有损静态图像压缩当前有两种比较流行的标准JPEG和JPEG2000。说明了用JPEG方法压缩的原因。
介绍JPEG基本原理：JPEG对灰度图像的压缩处理过程主要包括:图像分割,离散余弦变换(DCT),量化(Quantization),“Z”形排序(Zigzag Scan),差分脉冲编码调制(Differential Pulse Code Modulation,DPCM)对直流系数(DC),行程长度编码(Run-Length Encoding,RLE)对交流系数(AC),霍夫曼(Huffman)编码等。
JPEG标准的特点是离散余弦变换。
比较详细介绍压缩系统的构成和实现。实现提及步骤， JPEG压缩模块设计和编码模块实现细节。
-Abstract
Article in the space monitoring system for the background, in-depth study of the JPEG image compression standard implementation methods and carried out based on FPGA implementation and optimization. In this paper, a detailed method of implementation and optimization of the process, testing showed that to achieve good results.
Easy introduction of harmful static image compression has two kinds of comparisons that the current popular standard JPEG and JPEG2000. Illustrated by the reasons for JPEG compression method.
JPEG introduce the basic principles: JPEG compression of gray-scale image processing include: image segmentation, discrete cosine transform (DCT), quantization (Quantization), "Z"-shaped sort (Zigzag Scan), differential pulse code modulation (Differential Pulse Code Modulation, DPCM) on the DC coefficient (DC), Run Length Encoding (Run-Length Encoding, RLE) of the exchange coefficient (AC), Hoffman (Huffman) coding.
JPEG standard is characterized by discrete
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Author: 压子 |
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Description: 本文介绍了基于DCT 的图像压缩编码技术, 并给出了具体的实现方法和步骤, 既保证具有较高的压缩比, 又保证了较好的图像
质量。-This paper introduces the coding of image based on DCT , therefore,shows the details of realization . It provides high compressibility
and high quality.
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Size: 206848 |
Author: rainbow |
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Description: this matlab code for the paper solved on the DWT SVD and DCT -this is matlab code for the paper solved on the DWT SVD and DCT
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Size: 2048 |
Author: Sathvika |
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Description: This is partial code for the paper "An Effective Blind Watermark Algorithm Based on DCT"-This is partial code for the paper "An Effective Blind Watermark Algorithm Based on DCT"
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Size: 1024 |
Author: Sathvika |
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Description: 本文首先介绍了静态图像压缩（JPEG）编码算法的基本原理、压缩的实现过程及其重要过程的离散余弦变换（DCT）算法的实现原理及软件实现的例程，其次着重介绍了压缩过程中的DCT、量化和编码三个重要步骤的实现原理。-This paper describes the static image compression (JPEG) coding algorithm is the basic principle of compression process of the implementation process and its important discrete cosine transform (DCT) Algorithm theory and software implementation of the routines, followed by highlights of the compression process DCT, quantization and encoding steps in the realization of three important principles.
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Author: xuai |
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Description: 本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和BP神经网络分类器，同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器，并对BP神经网络进行分类的算法进行设计，BP神经网络具有学习功能，只要采用本系统对训练图片进行训练，就可以记下图像的相关信息，对于测试图片，就可以很准确的识别出该图片是属于哪个的。最后，本文对整个人脸识别系统设计实验进行了实验分析，实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura
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Author: 刘文珍 |
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Description: All three, Discrete Wavelet Transform (DWT) - Singular
Value Decomposition (SVD) and Adaptive Tabu Search
(ATS) have been used as mathematical tools for embedding
data into an audio signal. In this paper, we present a new
robust audio watermarking scheme based on DWT-SVD and
ATS. After applying the DWT to the cover audio signal, we
map the DWT coefficients, and apply the SVD, we search for
the optimal intensity of audio watermarking by using the
ATS. Experimental results show that the watermarking
method performs well in both security and robustness to
many digital signals processing, such as filtering,
cropping, mp3 and random noise.
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Size: 267264 |
Author: Rishi |
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Description: 关于图像除了 的 水印算法 dct
很详细 很难下载的 一篇详细论文-In addition to the watermarking algorithm on the image detail dct difficult to download a detailed paper
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Author: 李小伟 |
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Description: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.
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Author: mhm |
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