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    基于低复杂度自适应帧的WVSN视频编码方法

    2013-06-12 《中国测试》杂志
    吴国光, 刘桂雄, 周松斌
    (华南理工大学机械与汽车工程学院,广东 广州 510640)
    摘  要:针对WVSN视频节点资源受限与视频编码方法复杂度高等问题,提出一种基于低复杂度自适应帧的视频编码方法。由“隔块-对角线”差异值计算方法求得差异值,建立自适应帧传输机制,避免逐帧判断,减少计算量。帧内图像采用多边形DCT裁剪JPEG压缩,减少二维DCT计算复杂度。实验结果表明,该方法在保证视频质量前提下,能有效降低视频编码复杂度,与无裁剪JPEG图像压缩相比,当前帧、差分帧JPEG压缩DCT计算量分别减少9.4%、56.3%;与M-JPEG视频编码相比,平均PSNR减少3.1%情况下,平均文件大小显著减少55.0%。
    关键词:无线视频传感器网络;视频编码;低复杂度;自适应
    中图分类号:TP212.9;TN944+.4;TN941.1;TP273+.21    文献标志码:A     文章编号:1674-5124(2013)03-0073-06
    WVSN video coding method based on low complexity self-adaptive frame
    WU Guo-guang, LIU Gui-xiong, ZHOU Song-bin
    (School of Mechanical and Automotive Engineering,South China University of Technology,
    Guangzhou 510640,China)
    Abstract: For resolving the problem of constrained resources of node in WVSN and high complexity video coding, a video coding method based on low complexity self-adaptive frame was proposed. The difference value is calculated based on "interlaced-diagonal" method, and the type mechanism of the self-adaptive frame is established to avoid judging each frame to decrease the computation complexity. And intra-frame image coding is based on polygonal DCT pruning JPEG to decrease the complexity of 2D DCT. Simulation results indicate that on the premise of video quality, the proposed method can effectively decrease the complexity of video coding. Compared to JPEG without DCT pruning, the computation amount of DCT in current-frame and difference-frame are decreased by 9.4% and 56.3% respectively. Compared to M-JPEG, the average image size decreased by 55.0% while the average PSNR decreased by 3.1%.
    Key words: wireless video sensor network; video coding; low complexity; self-adaptation
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