基于直方图信息表补偿的图像密写技术*

基于对最低比特位匹配密写方法及利用图像直方图对其进行密写分析方法的研究,提出了一种基于直方图信息表补偿的最低比特位密写方法。该方法在密写过程中定义动态改变的直方图信息表,以记录图像秘密信息嵌入位置像素的增减,并根据信息表内的记录在下一次同样灰度值的像素嵌入秘密信息时对直方图信息表进行补偿处理,而总体原则是尽量保证密写后的直方图信息表变化最小。实验表明,经本方法密写后的图像直方图基本保持了原有峰值和变化趋势等属性,对一些针对图像直方图攻击方法有很好的效果。     

Efficient reversible data hiding based on the histogram modification of differences of pixel differences

Multimedia Tools and Applications - Histogram modification is one of the most successful reversible data hiding methods. Among many histogram-modification techniques, difference-histogram-based...     

基于像素相关性的数字图像隐写分析*

根据自然图像相邻像素之间具有一定相关性的特点,提出一种基于图像像素相关性度量的隐写分析方法。首先利用Hilbert空间填充曲线对图像各位平面像素以及图像像素进行扫描,构造一维序列,然后分别采用计算自相关系数和像素前后差值比的方法对图像相邻像素间的相关性进行度量,提取特征输入到分类器中,实验表明,该方法达到了较好的检测效果。     

基于直方图特性的LSB匹配隐写分析研究

为了提高对高精度原始图像LSB匹配数字隐写的检测能力,提出了基于直方图特性的LSB匹配隐写分析方法.根据高精度原始图像在LSB匹配数字隐写过程前后灰度直方图、差分直方图以及小波分解后的子带系数直方图的特性差异,提取了23维的特征向量,并使用支持向量机对其进行训练,建立区分载体图像与载密图像的分类器达到检测秘密信息的目的.实验结果表明,该方法在性能上要优于文献[5]的局部极值法.     

A novel steganographic method for algebraic-code-excited-linear-prediction speech streams based on fractional pitch delay search

Multimedia Tools and Applications - Although a large number of steganography algorithms based on algebraic-code-excited-linear-prediction have been proposed, their performance, such as embedding...     

基于直方图帧差的自适应镜头分割算法

提出一种改进的基于亮度直方图帧差的自适应镜头分割算法,该方法包括突变镜头的检测过程和渐变镜头的渐变过程,这两个处理过程由相邻两帧的亮度直方图帧差与自适应阈值的比较来自动进行选择,在突变镜头的检测过程中加入隔帧帧差法检测闪光灯,渐变镜头的检测采用基于帧间差方差的方法。实验结果表明,改进算法具有很好的检测效果,且计算复杂度低,易于实现。     

A novel data hiding for color images based on pixel value difference and modulus function

This paper proposes a novel data hiding method using pixel-value difference and modulus function for color image with the large embedding capacity(hiding 810757 bits in a 512×512 host image at least) and a high-visual-quality of the cover image. The proposed method has fully taken into account the correlation of the R, G and B plane of a color image. The amount of information embedded the R plane and the B plane determined by the difference of the corresponding pixel value between the G plane and the median of G pixel value in each pixel block. Furthermore, two sophisticated pixel value adjustment processes are provided to maintain the division consistency and to solve underflow and overflow problems. The most importance is that the secret data are completely extracted through the mathematical theoretical proof.     

A perfect maze based steganographic method

In steganography, several different types of media have been used as carriers, such as images, audios and video streams, to hide secret data. Nevertheless, various novel media and applications have been developed due to the rapid growth of internet. In this paper, we select maze games as carrier media to conceal secret data. The original idea of embedding data in a maze is proposed by Niwayama et al. Their method has two disadvantages. One is the very small embedding capacity; the other is that the stego maze is not perfect. Here, we propose an improved algorithm for increasing the embedding capacity and preserving the “perfect” property.     

基于邻域灰度差值的二维Otsu分割方法研究*

针对传统二维灰度直方图的阈值分割方法中区域划分像素易丢失、运算速度慢等不足,通过深入分析图像中邻域灰度偏离的情况,并充分考虑像素的空间灰度信息,提出一种利用像素邻域灰度差值的新方法构建二维直方图;基于二维类间方差法实现了图像二维Otsu分割方法,并给出了相应算法的实现步骤。以生物图像中的鱼体分割为实例对方法进行了实验验证,结果表明算法分割效果良好,运算速度提高较明显。     

A steganalysis by adjacency pixel bits structure

Embedding of confidential data in the least significant bit of an image is still an attractive method of steganography. Utilizing the full capacity of cover images by embedding one bit of data per pixel, using methods such as LSB flipping or LSB matching, usually decreases the security, making the algorithm vulnerable to steganalytic attacks. And then, it is proposed by an efficient high payload ±1 data embedding scheme(EPES) based on a special two variable binary function. This function uses the information of the least two significant bit planes of the cover image for the embedding and extraction purposes. Rather than randomly selecting +1 or −1, EPES achieves higher embedding efficiencies by choosing the correct modification component. The steganalytic method based on sample pair analysis (SPA) cannot effectively detect EPES. Hence, we propose a steganalysis by constructing adjacency pixel bits structure (SAP). The resulting detection algorithm is simple and fast. Analytical and experimental results demonstrate that the proposed method provides higher detecting efficiency than the other steganalysis.     

一种基于像素差值特征的车辆检测方法

为了快速定位监控场景中的车辆位置,提出了一种基于像素差值特征的车辆检测方法。首先提取图像的归一化像素差值特征(NPD),之后使用深度二次树(DQT)学习最优的特征子集,最后使用Ada Boost算法筛选最具区分力的特征构建强分类器。以含有正面、侧面及背面三个角度超过3 500个样本为测试集进行了快速车辆检测测试,并与梯度方向直方图(HOG)和Haar的组合特征进行了对比。对比实验表明,基于NPD的车辆检测方法最优,其检测率和检测时间分别为85.47%和200 ms。     

一种基于FCM和HVS的隐写方法

为了提供较大的秘密信息嵌入量并保持良好的载密图像质量,提出了一种基于FCM（模糊聚类）和HVS（人眼视觉特性）的图像隐写方法。该方法将对比度和梯度敏感度作为特征向量,并通过模糊C均值聚类将像素分为视觉敏感类与视觉不敏感类;采用模算子隐写法将较多秘密信息嵌入属于视觉不敏感类的像素,而将较少秘密信息嵌入属于视觉敏感类的像素。实验结果表明,与SMFH方法相比,该方法具有更大的嵌入量。     

A steganographic method based on gain quantization for iLBC speech streams

Multimedia Systems - Under the premise of ensuring good speech quality and resistance to steganalysis, how to embed as much information as possible into low-bit-rate speech is a challenge. The...     

基于优化算法与多尺度差分的图像分割方法

为了使图像分割算法能够满足实时性要求,针对Otsu法计算量大的问题,将类间方差进行连续域扩展,推导出速度较快的黄金分割法;应用灰度差分直方图进行分割,能够根据多尺度灰度差分直方图得到候选集,将搜索次数减少到候选集中元素个数,计算量小、速度快;结合两者可以实现图像的快速分割。仿真实验和实际应用表明,该方法不仅分割效率高,而且能够得到很好的分割效果。     

A new audio steganalysis method based on linear prediction

Multimedia Tools and Applications - Steganography and Steganalysis have attracted a lot of attention in decades. Recently, voice communication has been more and more popular, which provides ways to...     

基于直方图频域统计矩的图像隐写分析

以图像小波子带系数直方图频域统计绝对矩作为特征,进行图像隐写分析,取得良好的分类性能。并且从理论和实际两方面证实了,对于图像隐写分析,直方图频域矩比直方图空域矩更有效。实验结果表明本文方法优于目前其他的图像通用隐写方法。在CorelDraw图像库上的测试结果,对多种数据隐藏方法的正确检出率达90%以上。     

A novel steganalysis method with deep learning for different texture complexity images

Multimedia Tools and Applications - Most steganalysis methods based on deep learning don’t distinguish the image texture complexity, but rather to mix all images for training. As a result,...     

基于显著性检测的图像隐写分析方法

针对图像隐写分析难度大、现有的检测模型难以对图像隐写区域进行针对性检测的问题,提出了一种基于显著性检测的图像隐写分析方法.该方法利用显著性检测技术引导隐写分析模型更加关注图像隐写区域的特征.首先,显著性检测模块生成图像的显著性区域;其次,区域筛选模块筛选出与隐写区域重合度较高的显著性图,利用图像融合技术与原始图像进行融...     

基于颜色差分直方图的运动目标提取

为了降低动态变化的背景对运动目标提取的干扰,使用颜色差分直方的方法来降低由于背景不稳定、光照强度变化造成的错误。首先计算一个位置点所在的小邻域内像素之间的差值。其次,使用高斯隶属度函数的模糊关系做颜色差分。最后,提出一种新的模糊颜色差分直方图,即采用模糊C-means聚类和颜色差分结合的方法。模糊C-means聚类聚类算法在颜色差分直方图中的使用可以降低计算的直方图的维数较大的复杂性,也降低了背景因强度变化而产生的移动假象或背景照明度的变化而产生的影响。随机选择两个视频帧集合来测试该方法。仿真结果表明,该算法在一些复杂的视频序列场景中能够表现出较好的性能和结果。