压缩图像码流的分组丢失顽健可伸缩认证算法

发布时间：2018-05-16 09:49

本文选题：图像认证 + 顽健性　；参考：《通信学报》2014年04期

【摘要】：基于图像编码流的结构和相关性特点,提出了一种分组丢失顽健的可伸缩流认证方法。通过利用散列链和纠错编码算法构造认证算法,该方法可实现优化的码率分配以及非平等认证保护(UAP,unequal authentication protection)。首先对图像编码码流进行解析,获得层次结构信息和编解码依赖性;然后,根据码流数据对重构图像质量的重要程度,利用散列链将次重要的码流数据链接到重要数据上;最后对解码独立码流的散列值和整个码流的数字签名进行纠错编码,提高认证算法对分组丢失的顽健性。该方法仅需要对整个图像码流做一次签名,具有很低的认证代价。实验结果表明,与其他3种流认证算法相比,此法的认证图像具有更高的重构质量。
[Abstract]:Based on the structure and correlation characteristics of the image coding stream, a packet loss and robust scalable stream authentication method is proposed. The authentication algorithm is constructed by using hash chain and error correction coding algorithm. This method can implement optimal rate allocation and unequal authentication protection (UAP, unequal authentication protection). First of all, image coding is applied to image coding. The bit stream is analyzed to obtain the hierarchical structure information and codec dependence. Then, based on the importance of the stream data to the reconstructed image quality, the important data stream data of the hash chain are linked to the important data. Finally, the decoding of the hash value of the decoded independent stream and the digital signature of the entire code stream is corrected to improve the authentication calculation. This method only requires a signature for the entire image stream, and has a low authentication cost. The experimental results show that the authentication image of this method has a higher reconstruction quality compared with the other 3 flow authentication algorithms.

【作者单位】：中国科学院软件研究所天基综合信息系统重点实验室;中国科学院大学;
【基金】：国家高技术研究发展计划(“863”计划)基金资助项目(2012AA011206)~~
【分类号】：TN919.81

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