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已知两个不同图像块亮度数据如下：
（1）分析DCT原理，采用DCT方法，编程并计算相应的DCT系数，分析系数分布特点。
（2）依据视觉特性分析量化表步长的分布特点，完成DCT系数量化。
（3）采用Z形扫描，实现输出数据的统计编码，形成Video stream。
（4）采用IDCT重建图像亮度数据，计算SAD大小，分析产生误差的原因及采用DCT进行数据压缩的原理。（ ）
（5）分别利用左上角1、3、6个系数重建图像，计算相应的SAD，并由
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信息隐藏与水印技术的经典隐写算法的lsb算法的加密，用C实现-Information Hiding and Watermarking classic lsb steganalysis algorithm encryption algorithm, using C to achieve
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图像的组成无非是一些字符串或者一些字节组成的字符串，然而，每一个字节数据位的重要度并不是一样的，两个相邻字节往往只有低位是不一样的。例如：00100110和00100111代表了两个不同渐变度的红色，但是就人眼是分辨不出来的。最低有效位LSB算法，就是利用这一点，达到图像压缩，或者数字水印的功能。-The composition of the image is nothing more than some number of bytes or string composed of string,
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介绍了一种基于统计特性的LSB密写分析方法,对其进行了改进并提出了可靠估计信息隐藏长度的方法。该方法利用相邻像素相关性定义了统计量,可根据阈值判断秘密信息的有无。对待检测图像进行二次嵌入,根据统计量的变化建立模型,能可靠估计秘密信息隐藏长度。实验表明,估计出的信息量比较准确。-This paper introduces a steganalysis algorithm based on statistics method for LSB steganograhpy and mends it,pr
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CPT algorithm data hiding in image
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Data hiding in the still image presets a variety of challenges that arises due to the way human visual system (HVS) works and the typical modifications that image undergoes. Additionally, still images priced a relatively small host signal in which to
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The code implements the following paper:
Guorong Xuan, Jiang Zhu, Jidong Chen, Shi Y.Q., Zhicheng Ni, Wei Su, "Distortionless data hiding based on integer wavelet transform" IET Electronics Letters, Volume: 38, Issue 25, page 1646- 1648, Decembe
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基于傅里叶域内的研究水印，实现其鲁棒性。数字水印技术，能有效的维护数字作品及数据的安全性，是信息隐藏领域的一个重要分支，它与信息安全、信息隐藏、数据加密等均有密切关系。数字水印有多个研究方向，主要集中在图像水印方面。基于傅立叶域的数字图像水印技术，是一种常见的水印算法，它具有算法简单，执行效率高，能有效对抗攻击的特点。-Research based on Fourier domain watermarking, to achieve its robustness. Digital waterma
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this code is used to do data hiding in image and then take it back ..........pandey
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to see GUI in platform MATRIX LABORATORIUM
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BMP图像信息隐藏，在不影响图像正常显示的情况下，在24位真彩色BMP图像中隐藏信息。主要是根据BMP图像的文件结构来实现。BMP图像由文件头，信息头，调色板区和数据区组成，而24位真彩色图像中没有调色板信息。此源码主要是在24位真彩色BMP图像中隐藏信息。-BMP image information hiding, without affecting the normal image display cases, in 24-bit true-color BMP images in the h
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This project is designed basically to make us understand the concept of least significant bit insertion method in Steganography. Steganography is the technique hiding the very existing of hidden data in an image.
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This paper presents a novel algorithm of hiding
secret messages by applying mathematical lemmas and
information theory. The proposed algorithm can hide more
information with acceptable embedded rate and achieves
requirements of information hi
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propose a novel joint data-hiding
and compression scheme for digital images using side match
vector quantization (SMVQ) and image inpainting. The two
functions of data hiding and image compression can be integrated
into one single module seam
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Nowadays, with the rapid growth in formation technology more and more images and data are available on the internet. So there is a need to provide some kind of authentication to such important data. When the sender transmits the image to the receiver
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Advances in formation technology have gradually changed people’s lives and lifestyles in recent years. The Internet provides a convenient environment for users to exchange secret data or communicate with one another regardless of their physical locat
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Since the birth of digital data hiding, image authentication has been one of its most widespread applications. During the first years, aside a few numbers of works, this application was limited to verifying the integrity of the image or locating its
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patchwork图像信息隐藏，修改图像数据的数值组实现-patchwork image information hiding, numerical modified set of image data to achieve
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