Wu Jing, Li Ye
Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, China.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:3727-30. doi: 10.1109/IEMBS.2009.5334819.
Recently, the notions of Compressed Sensing (CS) have attracted attention as an innovative concept in signal processing. In this exploratory paper, a CS-based video compression approach suitable for wireless capsule endoscopy is proposed. In general, the amount of video data generated by capsule endoscopy is so large that video compression is the best way to lower the communication bandwidth and save the RF transmitting power. However, due to power limitation and small size conditions, traditional video compression techniques are not appropriate. Applying state-of-the-art CS theory may significantly reduce power consumption and memory of video compressor, thanks to its low computational complexity. The proposed approach is based on YUV color space conversion, blocking, zigzag scan and CS measuring. Experimental results show the feasibility of the proposed idea and that future improving works are necessary.
最近，压缩感知（CS）的概念作为信号处理中的一个创新概念受到了关注。在这篇探索性论文中，提出了一种适用于无线胶囊内窥镜的基于CS的视频压缩方法。一般来说，胶囊内窥镜产生的视频数据量非常大，以至于视频压缩是降低通信带宽和节省射频发射功率的最佳方法。然而，由于功率限制和小尺寸条件，传统的视频压缩技术并不适用。应用最先进的CS理论可能会显著降低视频压缩器的功耗和内存，这得益于其低计算复杂度。所提出的方法基于YUV颜色空间转换、分块、之字形扫描和CS测量。实验结果表明了所提想法的可行性，并且未来有必要进行改进工作。
