Department of Electronic and Computer Engineering, Brunel University, London UB8 3PH, UK.
Sensors (Basel). 2020 Mar 14;20(6):1617. doi: 10.3390/s20061617.
Wireless Capsule Endoscopy is a state-of-the-art technology for medical diagnoses of gastrointestinal diseases. The amount of data produced by an endoscopic capsule camera is huge. These vast amounts of data are not practical to be saved internally due to power consumption and the available size. So, this data must be transmitted wirelessly outside the human body for further processing. The data should be compressed and transmitted efficiently in the domain of power consumption. In this paper, a new approach in the design and implementation of a low complexity, multiplier-less compression algorithm is proposed. Statistical analysis of capsule endoscopy images improved the performance of traditional lossless techniques, like Huffman coding and DPCM coding. Furthermore the Huffman implementation based on simple logic gates and without the use of memory tables increases more the speed and reduce the power consumption of the proposed system. Further analysis and comparison with existing state-of-the-art methods proved that the proposed method has better performance.
无线胶囊内窥镜是一种用于胃肠道疾病医学诊断的先进技术。内窥镜胶囊摄像机产生的数据量非常庞大。由于功耗和可用空间的限制，内部保存这些大量数据是不实际的。因此，这些数据必须通过无线方式传输到人体外部进行进一步处理。在功耗领域，数据必须进行高效压缩和传输。在本文中，提出了一种新的设计和实现低复杂度、无乘法器压缩算法的方法。对胶囊内窥镜图像的统计分析提高了传统无损技术（如霍夫曼编码和 DPCM 编码）的性能。此外，基于简单逻辑门且不使用存储表的霍夫曼实现进一步提高了系统的速度并降低了功耗。与现有的最先进方法进一步分析和比较表明，所提出的方法具有更好的性能。
