基于全零检测的改进小菱形搜索算法

为减小H.264/AVC编码器中的运动搜索时间并降低计算量,提出一种基于全零检测技术的改进小菱形搜索算法。在搜索中心及周围4个点进行匹配计算,计算过程中插入全零检测,提高搜索速度。与其他几种典型运动搜索算法的比较结果表明,该算法在保证一定峰值性噪比的条件下,能降低运动搜索次数、减少编码时间,适用于背景相对固定或中低运动强度的视频序列。     

基于全零检测的改进小菱形搜索算法

为减小H.264/AVC编码器中的运动搜索时间并降低计算量,提出一种基于全零检测技术的改进小菱形搜索算法。在搜索中心及周围4个点进行匹配计算,计算过程中插入全零检测,提高搜索速度。与其他几种典型运动搜索算法的比较结果表明,该算法在保证一定峰值性噪比的条件下,能降低运动搜索次数、减少编码时间,适用于背景相对固定或中低运动强度的视频序列。     

Novel Spatially Adaptive Image Denoising Algorithm Based on Covariance Estimation in Wavelet Domain

A new method for image denoising is proposed. By analyzing image‘s statistical properties in wavelet domain, it is shown that the natural image has a strong and spatial variable covariance structure relationship in local space of sub-band. A non-direct estimation method is suggested to make an adaptive estimate of spatial variable covariance by estimating the correlation coefficient and variance of subband image separately. It can be used to estimate adaptive filtering of subband image. The experiment shows that this method can improve the image‘s SNR, and has strong ability to preserve edges.     

基于DSP TMS320DM642的H.264视频编码的实现和优化

阐述了低码率视频编码国际标准H.264的主要内容,重点讨论了H.264编码在DSPTMS320DM642上的实现和优化。     

DVB-S接收卡结构原理

介绍了一种DVB－S接收卡的基本结构原理和实现方法，并分别对其嵌入式操作系统及外围模块的设计进行了讨论。     

DVB网关转发效率的研究

本文主要研究如何在DVB平台上提高网关的数据转发效率。通过借鉴ATM交换机上较为成熟的报文转发丢弃算法（RED＋EPD算法），并根据DVB平台的特点加以改进，综合调度网关中所到达的报文分组和分配缓冲，使得DVB网关上在控制平均排除长度、减小平均排队时延等方面得到很好的改善，更好地满足不同用户所需求的服务质量。     

智能卡加密算法的微分能量分析方法研究*

DPA是最近几年新发现的一种智能卡攻击方法,与以往方法不同,它将加密过程中电路能量消耗与操作数关联,用统计方法来获取密钥信息,危害极大。首先分析了DPA对智能卡常用加密算法的攻击过程,对其原理、步骤、特征和实现进行了深入的剖析;并对AES候选算法的DPA攻击进行了探讨,推论得出,新一代分组加密算法也无法抵御DPA攻击。最后总结了对DPA攻击的几种防范措施。     

Novel Facial Features Segmentation Algorithm

An efficient algorithm for facial features extractions is proposed. The facial features we segment are the two eyes,nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector,morphological approach to detect the face region and facial features regions,and an improved T-shape face mask to locate the extract location of facial features. The experimental results show that the proposed method is robust against facial expression,illumination,and can be also effective if the person wearing glasses,and so on.     

Feature subset selection method for AdaBoost training

The feature-selection problem in training AdaBoost classifiers is addressed in this paper.A working feature subset is generated by adopting a novel feature subset selection method based on the partial least square(PLS)regression,and then trained and selected from this feature subset in Boosting.The experiments show that the proposed PLS-based feature-selection method outperforms the current feature ranking method and the random sampling method.     

a—Si:H薄膜显微形貌的图象处理

用动态方法跟踪观测a-Si:H薄膜原位退火过程中发生的晶化现象,获得晶化形貌的显徽图象,通过对图象的数字采集和计算,得到a-Si:H薄膜样品在不同退火温度下,显徽图像的Sandbox关系曲线。结果表明,在一定条件下所形成的微结构具有分形结构特性。计算了显徽图象的分维,讨论了a-Si:H薄膜结构驰豫(相变)与分形结构形成的关系。