Blind Speech Watermarking Method with Frame Self-Synchronization Based on Spread-Spectrum Using Linear Prediction Residue

State-of-the-art speech watermarking techniques enable speech signals to be authenticated and protected against any malicious attack to ensure secure speech communication. In general, reliable speech watermarking methods must satisfy four requirements: inaudibility, robustness, blind-detectability, and confidentiality. We previously proposed a method of non-blind speech watermarking based on direct spread spectrum (DSS) using a linear prediction (LP) scheme to solve the first two issues (inaudibility and robustness) due to distortion by spread spectrum. This method not only effectively embeds watermarks with small distortion but also has the same robustness as the DSS method. There are, however, two remaining issues with blind-detectability and confidentiality. In this work, we attempt to resolve these issues by developing an approach called the LP-DSS scheme, which takes two forms of data embedding for blind detection and frame synchronization. We incorporate blind detection with frame synchronization into the scheme to satisfy blind-detectability and incorporate two forms of data embedding process, front-side and back-side embedding for blind detection and frame synchronization, to satisfy confidentiality. We evaluated these improved processes by carrying out four objective tests (PESQ, LSD, Bit-error-rate, and accuracy of frame synchronization) to determine whether inaudibility and blind-detectability could be satisfied. We also evaluated all combinations with the two forms of data embedding for blind detection with frame synchronization by carrying out BER tests to determine whether confidentiality could be satisfied. Finally, we comparatively evaluated the proposed method by carrying out ten robustness tests against various processing and attacks. Our findings showed that an inaudible, robust, blindly detectable, and confidential speech watermarking method based on the proposed LP-DSS scheme could be achieved.     

An Image Compression Encryption Algorithm Based on Chaos and ZUC Stream Cipher

In order to improve the transmission efficiency and security of image encryption, we combined a ZUC stream cipher and chaotic compressed sensing to perform image encryption. The parallel compressed sensing method is adopted to ensure the encryption and decryption efficiency. The ZUC stream cipher is used to sample the one-dimensional chaotic map to reduce the correlation between elements and improve the randomness of the chaotic sequence. The compressed sensing measurement matrix is constructed by using the sampled chaotic sequence to improve the image restoration effect. In order to reduce the block effect after the parallel compressed sensing operation, we also propose a method of a random block of images. Simulation analysis shows that the algorithm demonstrated better encryption and compression performance.     

基于电磁特性SAR图像目标识别模板的建立

针对SAR图像目标识别过程中识别模板形成的缺点和难点,提出了基于电磁散射特性SAR图像目标识别模板的数学模型和成像原理。采用一种混合算法计算了复杂目标的雷达截面(RCS),由目标的散射系数σ或RCS值,通过宽带合成孔径原理求出物体散射特性的空间分布,建立了SAR图像目标识别模板。实验验证了其正确性、有效性,以及具有近实时性、目标姿态连续性和精确性等特点,为快速准确地获取SAR图像中的目标信息提供技术支持。     

多传感器图像的二次匹配算法

针对光学图像的多光谱、多传感器图像的自动配准,提出了一种基于边缘重心的多传感器图像二次匹配算法.首先,通过边缘检测和相应的后期链接处理,提取出较为完整的图像边缘;然后,根据图像边缘的链码相关以及区域不变矩策略,寻找匹配边缘,并对已匹配边缘的重心进行一致性检验获得控制点对;最后,采用最小二乘法估计图像粗匹配变换参数.在粗匹配的基础上,根据匹配后图像共有区域内边缘的主要方向和重心,再次对图像进行细匹配,修正匹配参数以提高匹配精度.多种遥感图像数据的配准实验和对比试验证实了该自动算法具有较高的可靠性和配准精度.     

一种新的红外图像自适应增强算法

针对红外热图像普遍存在的目标与背景对比度差、边缘模糊等特点,提出了一种新的红外图像自适应增强算法.通过自适应地选择平台阈值,对红外图像进行平台直方图均衡化,有效抑制了背景的过度增强,避免目标灰度级的过多合并,提升了目标的灰度空间,获得了很好的增强效果.实验结果表明,本算法优于直方图均衡化算法,可有效地突出红外目标.     

低信噪比图像中目标检测提取方法

在低信噪比图像中检测慢运动小目标,无法利用尺寸,形状和纹理特征,使待测目标与噪声干扰形成的虚假目标相区分.基于小目标的慢运动特性及背景噪声的随机性,首先可以用多帧累积的方法检测到目标,再用区域生长法提取目标像素,进而,分析并验证累积帧数目、目标质心移动速度、图像处理算法对单帧检测概率及目标提取效果的影响。通过目标在两种质心运动速度下帧累积效果的对比,指出对非慢运动目标,帧累积法虽然可以有效预测其运动轨迹,但存在较大的单帧漏检率.     

数字图像三点中值去隔行技术研究

对传统三点中值去隔行算法进行改进,采用同步更新迭代的方法,提高了图像的画面质量.实验证明,该算法不仅降低了时间复杂度,保护图像边缘,而且明显改善了噪声滤波效果.     

光电式指纹采集图像装置及其分类算法

介绍了基于CMOS图像传感器的便携式指纹采集装置的设计,利用全反射原理,并通过对指纹图像全局的方向分布获取特征向量.实验证明,特征向量融合方法使分类的准确率达到93.7%.     

一种改进的视频图像采集处理系统设计

从目前国内外图像采集卡的现状分析出发,设计了一种改进型的视频图像采集处理系统,给出系统的硬件电路设计及软件流程设计,经仿真测试满足系统指标要求。     

一种改进型的自适应灰度水印算法

从图像编码的角度介绍了一种灰度图像预处理技术,并利用小波分解的特性构造嵌入算法,仿真实验表明本算法具有很强的稳健性.