激光与光电子学进展, 2020, 57 (24): 241021, 网络出版: 2020-12-02  

视频流分片编码的无人机视频传输方法 下载: 1187次

UAV Video Transmission Method Based on Video Stream Slicing and Coding
作者单位
西安工业大学电子信息工程学院, 陕西 西安 710021
摘要
为了解决消费级无人机(UAV)视频图像在传输过程中出现的高时延、低可靠性等问题,提出一种适用于消费级无人机的视频传输算法。发送图像时,对视频流进行分帧分片,采用分量变换,对Y,Cr,Cb三分量进行三级离散小波正变换、位平面分解、组织编码、并行传输处理。接收过程与发送过程相逆,将接收的完整图像存入二级缓存区以进行后续处理。小波变换保证了图像传输的可靠性,图像编码减轻了图像传输的负荷,图像并发及二级缓存接收进一步提高了图像的实时性。在传输距离为20m的WIFI环境下,对分辨率为640×480、1280×720图像分别进行测试。640×480图像下,接收帧率均值为47.7frame/s,时延均值为35.7ms,结构相似性(SSIM)均值为0.984,方均根误差(RMSE)均值为1.61;1280×720图像下,指标依次为28.8frame/s、45.9ms、0.978、2.68。实验结果表明,当消费级无人机在超低空拍摄时,所提算法能够满足高清视频流实时可靠传输的要求,也可应用在其他图像传输领域。
Abstract
To solve the problems of high-time delay and low reliability of consumer UAV video images during the transmission process, this paper proposes a video transmission algorithm suitable for consumer UAVs. With the proposed algorithm, the frames of a received real-time video image are sliced while transmitting images. Color component transform is employed to obtain Y, Cr, and Cb components, which are processed by third-level forward discrete wavelet transformation, bit plane decomposition, image coding, and parallel transmission. Additionally, the receiving process is inversed compared to the sending process. The restored complete image is stored in second-level cache, which is performed by other functions. Wavelet transform ensures image transmission reliability, image coding reduces image transmission load, and image concurrency and secondary buffer reception improve the real-time performance of images. In a WIFI environment with a communication distance of 20m, two common images (resolutions are 640×480 and 1280×720) are tested. The former's average receiving frame ratio, time delay, structural similarity (SSIM), and root mean square error (RMSE) are 47.7frame/s, 35.7ms, 0.984, and 1.61, respectively, and the latter's values are 28.8frame/s, 45.9ms, 0.978, and 2.68, respectively. The experimental results demonstrate that when a consumer UAV is shooting at ultra-low altitude, the proposed algorithm can satisfy the real-time and reliable transmission requirements of a high-definition video stream. Additionally, the proposed algorithm can be applied to other image transmission fields.

李亮亮, 吕志刚, 郭锦, 李晓艳, 杨永侠. 视频流分片编码的无人机视频传输方法[J]. 激光与光电子学进展, 2020, 57(24): 241021. Liangliang Li, Zhigang Lü, Jin Guo, Xiaoyan Li, Yongxia Yang. UAV Video Transmission Method Based on Video Stream Slicing and Coding[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241021.

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