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波纹干扰下视频传输性能评估算法研究

Research on video transmission performance evaluation algorithm under ripple jamming
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摘要 在波纹干扰下的传统视频传输性能评估方法缺少对干扰影响的处理步骤,导致评估精准度较低,针对该问题,提出了基于视觉感知的视频传输性能评估算法研究。分析视觉感知视频传输过程,获取感知到的视频传输影像,在波纹干扰下,以原始视频影像为基准,对被测试视频影像传输情况进行分析。根据被测试视频影像序列播放模式,设计五分制打分标准,通过双刺激损伤标度评估准则,可获取无波纹干扰下精准传输数据。依据跨段长度规则,推导传输性能评估解析公式,根据信噪比级联方式,可分析解码率,以此为基础完成对视频传输性能的评估。通过性能评估实验结果可知,该算法比传统算法评估精准度最大值要高42%,使视频能够在无干扰环境下稳定传输。 Traditional video transmission performance evaluation methods under corrugated interference lack the processing steps to deal with the impact of interference,which leads to low accuracy of evaluation. To solve this problem,a video transmission performance evaluation algorithm based on visual perception is proposed. The process of visual perception video transmission is analyzed,and the perceptual video transmission image is acquired. Under the corrugation interference,the transmission of the tested video image is analyzed based on the original video image. According to the playback mode of the video sequence under test,a five-point scoring standard is designed. Accurate transmission data can be obtained without ripple interference through the evaluation criterion of double stimulus damage scale. According to the rule of cross- section length,the analytical formula of transmission performance evaluation is deduced. According to the cascade mode of signal-to-noise ratio,the decoding rate can be analyzed,and the video transmission performance can be evaluated based on it. The experimental results show that the accuracy of the proposed algorithm is 42% higher than that of the traditional algorithm, which enables the video to be transmitted stably in a non-interference environment.
作者 谢小军 黄芳 XIE Xiao-jun;HUANG Fang(Information and Communication Branch,State Grid Anhui Electric Power Company,Hefei 230061,China)
出处 《电子设计工程》 2019年第19期160-163,169,共5页 Electronic Design Engineering
基金 安徽省自然基金项目(1308085ME80)
关键词 波纹干扰 视频传输 性能评估 视觉感知 双刺激损伤 信噪比 ripple jamming video transmission performance evaluation visual perception double stimulus damage signal-to-noise ratio
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