基于抗差错算术编码的不等差错保护图像传输方法

JPEG2000图像的分层特性要求采用不等差错保护方法以实现高效传输,本文提出了一种新型的不等差错保护方法,对不同位平面采用不同码率的抗差错算术码进行编码.与基于信道编码的不等差错保护方法相比,该方法保持了压缩码流的结构,避免了复杂的信道成帧过程.与已有的基于抗差错算术码的等差错保护方法相比,该方法提高了传输图像的质量.     

基于LDPC码的小波图像传输码率优化

LDPC码是一种具有低复杂度,强纠错能力的信道分组编码结构,SPIHT算法是嵌入式小波图像压缩编码中性能较好的一种。文中充分考虑SPIHT算法和LDPC码的特性,提出了根据信源编码后的数据在解码重建时的重要程度进行不等纠错保护的信源信道联合编码方案。实验表明,该方案有利于压缩图像在噪声信道上的可靠传输,提高系统整体纠错性能。     

一种基于OFDM系统的无线图像的有效传输方法

本文提出一种基于OFDM多载波系统的无线图像传输的方法。该方法将基于FFT／IFFT变换的OFDM多载波调制与基于小波变换的SPIHT嵌入式零树编码相结合，首先将SPIHT输出码流分成若干数据块，然后根据各数据块视觉重要性的不同，给其分配相应的子信道和发送功率，使视觉重要性高的码流在较低的误比特率下进行传输，实现对视觉重要性不同的码流的不等错误保护。本文在瑞利平坦衰落信道下的仿真结果表明：在低信噪比下，采用本文提出的不等错误保护方法比等错误保护方法的峰值信噪比增益要高出15dB以上。     

基于纠错算术码的信源信道自适应联合编解码系统

对信源信道自适应联合编码方法进行了研究,提出了一种新的基于纠错算术码的联合信源信道编解码系统。该系统在编码端利用算术码内嵌禁用符号实现信源信道一体式编码,即利用马尔科夫信源模型和根据信道状态信息自适应地调整禁用符号概率大小从而调整编码码率来实现信道自适应;在解码端,推导出了基于MAP的解码测度数学公式并基于此测度公式提出了一种改进的堆栈序列估计算法。与传统的信道自适应编码算法不同,该自适应编码算法只需调整一个参数:禁用符号,且理论上可获得连续可变的编码码率。实验结果表明,与经典的Grangetto联合编码系统以及分离编码系统相比,所提出的编码系统具有明显改善的性能增益。     

非规则准循环OOC-LDPC码在图像传输中的应用

介绍了非规则准循环OOC-LDPC码的构造,并将其应用到图像传输中,根据SPIHT压缩图像编码后的码流具有渐进性的特点,进行不等差错保护。在AWGN信道下仿真结果表明,非规则准循环OOC-LDPC码具有很好的纠错能力和不等差错保护特性。     

基于不等差错保护的信源信道联合编码技术的研究

文中首先对与信源信道联合编码技术相关的一些必要背景知识作了简要介绍.接着提出了一种无线信道中基于小波SPIHT算法的联合信源信道编码方法.主要思想是信源部分采用基于小波SPIHT的编码方法,而信道部分采用RCPC编码对SPIHT输出码流按重要性进行不等错误保护,并加入交织以增强对突发错误的抗击能力.实验表明本方法能够提高系统的性能和编码效率,可以应用于信噪比波动较大的信道.     

基于联合信源信道编码的无线图像传输策略设计

针对图像数据在无线信道传输中存在的可靠性与稳定性较差等问题，提出了一种自适应不等差错保护的联合信源信道编码方案。采用基于小波变换的信源编码对原始图像数据进行压缩处理，并对生成的码流进行重要程度划分；基于LDPC码对划分好的码流数据采取不同等级的差错保护措施；最终，反馈信道状况信息给信道编码器并进行码率的自适应调整，从而实现高质量的图像信号传输。仿真实验结果表明，提出的算法具有更高的峰值信噪比(PSNR),相比EEP算法及DE-UEP算法，其PSNR值有0.2～0.4 dB的提升。     

JPEG2000无线标准JPWL性能分析及应用研究

对JPEG2000标准第11部分印JPEG2000无线传输(JPWL)进行了系统描述和性能分析,结合实例提出了具体的应用方法:根据错误敏感度描述符提供的码流错误敏感度,利用错误保护块对码流执行头保护的基础上进行不等错误保护;在解码时利用残余错误描述符提供的码流残余错误信息进行错误隐藏.仿真结果表明,和常用方法相比,该方法能够保持码流中的重要信息,有效地纠正传输误码,显著地提高了解码能力和恢复图像的质量.     

LDPC和SPIHT联合编码用于图像压缩与保护的方法

提出了结合SPIHT（set partitionine in hierarchical trees）算法和LDPC（Low-Density Parity-Check）码的信源与信道联合编码方案。这一方案充分考虑了SPIHT算法和LDPC码的特性，根据信源编码后数据在重建时的重要程度，进行不同等纠错保护的信道编码方案。通过实验仿真的结果表明，论的方法能够使图像在高码率下达到较好的抗噪性能。     

基于H.264 SVC无线视频传输的自适应差错保护方法

提出了一种针对H.264可分级编码(H.264 SVC)的自适应前向纠错编码保护方案.通过比较不同的纠错方案,提出了划分丢包率区间的概念,并根据不同区间的丢包率自适应地选择最佳的纠错方案.仿真结果表明,与单一保护方法相比,所提自适应方法能够取得更好的保护效果,更适于在无线信道中进行视频传输.     

Content-based multiple bitstream image transmission over noisy channels

We propose a novel combined source and channel coding scheme for image transmission over noisy channels. The main feature of the proposed scheme is a systematic decomposition of image sources so that unequal error protection can be applied according to not only bit error sensitivity but also visual content importance. The wavelet transform is adopted to hierarchically decompose the image. The association between the wavelet coefficients and what they represent spatially in the original image is fully exploited so that wavelet blocks are classified based on their corresponding image content. The classification produces wavelet blocks in each class with similar content and statistics, therefore enables high performance source compression using the set partitioning in hierarchical trees (SPIHT) algorithm. To combat the channel noise, an unequal error protection strategy with rate-compatible punctured convolutional/cyclic redundancy check (RCPC/CRC) codes is implemented based on the bit contribution to both peak signal-to-noise ratio (PSNR) and visual quality. At the receiving end, a postprocessing method making use of the SPIHT decoding structure and the classification map is developed to restore the degradation due to the residual error after channel decoding. Experimental results show that the proposed scheme is indeed able to provide protection both for the bits that are more sensitive to errors and for the more important visual content under a noisy transmission environment. In particular, the reconstructed images illustrate consistently better visual quality than using the single-bitstream-based schemes.     

Clustering source output bits and equalizing bit error sensitivity to improve the quality and robustness of transmitted images over wireless channels

A joint design of source coding and channel coding is proposed to transmit images over error-prone wireless channels. First, the importance of each source output bit is quantified in bit error sensitivity (BES). Next, clustered set partitioning in hierarchical trees (C-SPIHT) is adopted to cluster SPIHT output bits so that the resultant bit-clusters have distinct BES. Then, we prove that equalizing the mean BES of bit-clusters provides the optimal assignment of channel coding rates for the unequal error protection. Besides, to achieve the best PSNR performance under a transmission rate, we use a heuristic method to allocate the source coding rate and channel coding rate. Simulation results show that, under different channel bit error rates, our design not only improves the mean PSNR performance, but also reduces the variations of PSNR performance, i.e. the robustness of PSNR to the channel noise interference is improved.     

基于联合优化技术的信源信道联合编码新策略

针对多媒体无线通信的特点,提出了一种结合自适应纠错技术与联合优化技术的新策略,充分考虑了联合编码的自适应纠错特性和联合优化特性,分析了优化的信源编码算法和优化的信道编码算法.实验仿真结果表明,该方法能够使图像数据在高码率下达到较好的抗噪性能.     

一种基于联合信源信道自适应的不等错误保护方法

针对误码信道和信源编码的统计特性,提出了一种能有效提高基于DCT变换的视频编码码流的抗误码性能的自适应不等错误保护方法.它基于信道误码的反馈信息,选择DCT的量化参数q和信道编码码率,并进行DCT重排和VLC编码,再对数据流进行不等差错保护.通过实验证明,它在高误码信道中性能优于EEP等.     

一种JPEG图像传输的循环码不等差错保护策略

提出一种JPEG图像传输的循环码不等差错保护策略，该策略充分考虑JPEG各部分数据重要性的不同，对比较重要的JPEG数据，使用性能较好的差错控制编码对其进行保护；而对重要性一般的JPEG数据，使用性能一般的差错控制编码。在加性高斯白噪声信道中验证该策略，仿真结果表明该策略能保证JPEG图像的稳健传输。     

SVC-based multisource streaming for robust video transmission in mobile ad hoc networks

Emerging noninfrastructure-based network types like mobile ad-hoc networks (MANETs) are becoming suitable platforms for exchanging/sharing real-time video streams, because of recent progress in routing algorithms, throughput and transmission bit-rate. MANETs are characterized by highly dynamic behavior of the transmission routes and path outage probabilities. In this article a multisource streaming approach is presented to increase the robustness of real-time video transmission in MANETs. For that, video coding as well as channel coding techniques on the application layer are introduced, exploiting the multisource representation of the transferred media. Source coding is based on the scalable video coding (SVC) extension of H.264/MPEG4-AVC with different layers for assigning importance for transmission. Channel coding is based on a novel unequal packet loss protection (UPLP) scheme, which is based on Raptor forward error correction (FEC) codes. While in the presented approach, the reception of a single stream guarantees base quality only, the combined reception enables playback of video at full quality and/or lower error rates. Furthermore, an application layer protocol is introduced for supporting peer-to-peer based multisource streaming in MANETs