基于分形的深度图序列编码算法

充分利用深度图序列相邻帧间的局部相似性,并结合H.264帧内预测编码算法,提出了一种适用于深度图序列编码的新方法,即深度图序列的I帧编码采用H.264帧内预测结构而P帧编码采用基于分形理论的压缩方法。首先介绍了分形编码的理论基础,然后通过改进非均匀多层次六边形格点整像素运动搜索(UMHexagonS)方法,提出了一种更适用于分形编码的基于运动矢量场的自适应六边形搜索算法,从而形成了基于分形的深度图P帧预测编码结构。实验结果表明:本文提出的编码系统在很大程度上提高了H.264的编码性能,峰值信噪比差值(BDPSNR)平均提高了3.54dB,编码比特率差值(BDBR)平均降低40.98%,同时编码复杂度也大大降低,平均编码时间减少了85.27%。     

基于纹理方向和空域相关的HEVC帧内快速编码算法

为了降低高效视频编码(HEVC)的复杂度,提出了一种基于纹理方向和空域相关性的帧内快速编码算法。一方面,利用相邻编码单元(CU,coding unit)的最佳分割尺寸确定相关性的权重,并根据已编码CU的率失真代价值定义了CU分割尺寸的相关性因子,通过比较该因子提前终止CU分割;另一方面,利用Sobel算子求取预测单元(PU,prediction unit)子块的纹理方向,通过判定其纹理方向显著性确定相应的候选模式集,然后根据PU大小对所得的预测模式修正处理,最后遍历这些候选模式选取最优模式。实验结果表明:本文算法相对于原始HEVC编码方法,在全I帧模式下编码时间平均减少36.84%,BDBR(Bjntegaard delta bit rate)上升约0.81%,BDPSNR(Bjntegaard delta peak signal-to-noise rate)降低了0.047dB。     

结合深度信息的多视点视频编码快速模式选择算法

多视点视频加深度(MVD,multi-view video plus depth)的编码格式包含多个纹理视频序列及其对应的深度图,深度图与对应的纹理视频具有相似的边缘信息。传统的编码模式不考虑两者的联系,单独编码导致复杂度高、编码时间过长。因此,合理利用深度图与纹理图的相似性进行编码,可以有效降低编码复杂度,同时应该确保编码质量不受影响。本文利用深度图的这一特点辅助纹理视频的编码,提出一种帧间快速模式选择算法,充分利用深度图与纹理图之间的相似性,建立一种联合复杂度模型,根据模型得到每个宏块的复杂度。对于复杂度低的宏块,在计算率失真代价之前跳过编码中一些不必要的模式,从而降低编码复杂度。实验表明,本文提出的快速模式选择算法,在保证率失真性能基本不变的情况下,能减少60.57%的编码复杂度,并最高能减少80.64%的编码时间。     

紫外光通信信道参数对Turbo码的影响

在紫外光通信中采用了纠错性能优异的Turbo码,用gamma-gamma湍流模型仿真信道中的大气湍流,考虑紫外光通信常用的P P M(脉冲位置调制)方式以及湍流的影响,在紫外信道中,分析了在相同的条件下折射率结构常数和波长等因素的变化给Turbo码性能带来的影响。仿真结果表明：在相同的条件下,折射率结构常数越小,波长越长,Turbo码的性能越好,该结论可为实际实现提供理论参考。     

“三超”光传输关键技术研究

所谓“三超”,即超高速、超大容量、超长距离,这三个主题是光通信乃至整个通信业一直追求的目标。三超光传输作为一种推动下一代互联网与宽带移动通信网发展和技术进步的新型光通信模式,已成为国际高科技知识产权竞争的焦点和制高点。文章介绍了三超光传输中的科学问题、关键技术,以及国内在这方面取得的重要成果。     

基于STFT的信道化接收系统研究及设计

根据现代电子侦察接收系统侦收信号的具体要求,研究了短时傅里叶变换（STFT）信道化信号处理系统的可行性方案。首先,介绍了 STFT 信道化的方法,具体阐述了 STFT 的原理,以及快速傅里叶变换 Winograd 方法。然后,研究了 STFT 信道化后的参数编码方法,分析了加升余弦窗后的频率测量方法,脉冲宽度、到达时间估计方法。最后,通过仿真测试,验证了系统的可行性。     

H.264/AVC中基于编码复杂度的率失真优化算法

提出了一种基于复杂度的率失真联合优化算法, 该算法在H.264/AVC视频编码标准中率失真优化算法的基础上考虑了视频编码算法复杂度因素, 以求达到对视频编码复杂度和率失真性能联合优化的效果, 并通过引入复杂度控制因子对编码复杂度进行控制调节。实验结果表明, 该算法可以在保证率失真性能降低很小的情况下降低视频编码的复杂度, 在率失真和复杂度之间取得了很好的均衡效果。     

Confidentiality of a selectively encrypted H.264 coded video bit-stream

It is an assumption that selective encryption does not strongly protect confidentiality owing to the partial visibility of some video data. This is because, though encryption keys may be difficult to derive, an enhanced version of selectively encrypted video sequence might be found from knowledge of the unencrypted parts of the sequence. An efficient selective encryption method for syntax elements of H.264 encoded video was recently proposed at the entropy coding stage of an H.264 encoder. Using this recent scheme as an example, the purpose of this paper is a comprehensive cryptanalysis of selectively encrypted H.264 bit-streams to contradict the previous assumption that selective encryption is vulnerable. The novel cryptanalysis methods presented in this paper analyze the ability of an attacker to improve the quality of the encrypted video stream to make it watchable. The conclusion is drawn that if the syntax elements for selective encryption are chosen using statistical and structural characteristics of the video, then the selective encryption method is secure. The cryptanalysis is performed by taking into account the probability distribution of syntax elements within the video sequence, the relationship of syntax elements with linear regression analysis and the probability of successfully attacking them in order to enhance the visual quality. The results demonstrate the preservation of distorted video quality even after considering many possible attacks on: the whole video sequence; each video frame; and on small video segments known as slices.     

Content-based image retrieval using H.264 intra coding features

Efficient multimedia retrieval has become a vital issue because more audio and video data are now available. This paper focuses on content-based image retrieval (CBIR) in the compression domain (CPD). The retrieval features are extracted based on I-frame coding information in H.264. This paper proposes using a local mode histogram as the texture feature to match images and applying the residual coefficients to filter non-confident modes. The geometrical correspondence between two images is also considered. The experimental results show that the proposed method can substantially reduce computational and memory resource consumption, and provides similar performance compared with methods that extract features from decompressed images.     

All-optical OFDM network coding scheme for all-optical virtual private communication in PON

A novel optical orthogonal frequency division multiplexing (OFDM) network coding scheme is proposed over passive optical network (PON) system. The proposed scheme for all-optical virtual private network (VPN) does not only improve transmission efficiency, but also realize full-duplex communication mode in a single fiber. Compared with the traditional all-optical VPN architectures, the all-optical OFDM network coding scheme can support higher speed, more flexible bandwidth allocation, and higher spectrum efficiency. In order to reduce the difficulty of alignment for encoding operation between inter-communication traffic, the width of OFDM subcarrier pulse is stretched in our proposed scheme. The feasibility of all-optical OFDM network coding scheme for VPN is verified, and the relevant simulation results show that the full-duplex inter-communication traffic stream can be transmitted successfully. Furthermore, the tolerance of misalignment existing in inter-ONUs traffic is investigated and analyzed for all-optical encoding operation, and the difficulty of pulse alignment is proved to be lower.