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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Design of a Lossless Image Compression System for Video Capsule Endoscopy and Its Performance in In-Vivo Trials
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Design of a Lossless Image Compression System for Video Capsule Endoscopy and Its Performance in In-Vivo Trials

机译：视频胶囊内窥镜无损图像压缩系统的设计及其在体内试验中的性能

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摘要

In this paper, a new low complexity and lossless image compression system for capsule endoscopy (CE) is presented. The compressor consists of a low-cost YEF color space converter and variable-length predictive with a combination of Golomb-Rice and unary encoding. All these components have been heavily optimized for low-power and low-cost and lossless in nature. As a result, the entire compression system does not incur any loss of image information. Unlike transform based algorithms, the compressor can be interfaced with commercial image sensors which send pixel data in raster-scan fashion that eliminates the need of having large buffer memory. The compression algorithm is capable to work with white light imaging (WLI) and narrow band imaging (NBI) with average compression ratio of 78% and 84% respectively. Finally, a complete capsule endoscopy system is developed on a single, low-power, 65-nm field programmable gate arrays (FPGA) chip. The prototype is developed using circular PCBs having a diameter of 16 mm. Several in-vivo and ex-vivo trials using pig's intestine have been conducted using the prototype to validate the performance of the proposed lossless compression algorithm. The results show that, compared with all other existing works, the proposed algorithm offers a solution to wireless capsule endoscopy with lossless and yet acceptable level of compression.
机译：本文提出了一种用于胶囊内窥镜检查（CE）的新的低复杂度和无损图像压缩系统。该压缩器由低成本的YEF色彩空间转换器和结合Golomb-Rice和一元编码的可变长度预测器组成。所有这些组件都针对低功耗，低成本和无损本质进行了优化。结果，整个压缩系统不会招致图像信息的任何损失。与基于变换的算法不同，该压缩器可以与以光栅扫描方式发送像素数据的商业图像传感器接口，从而无需具有大的缓冲存储器。压缩算法能够与平均压缩率分别为78％和84％的白光成像（WLI）和窄带成像（NBI）一起使用。最后，在单个低功耗，65 nm现场可编程门阵列（FPGA）芯片上开发了完整的胶囊内窥镜系统。使用直径为16 mm的圆形PCB开发原型。已经使用该原型进行了一些使用猪肠的体内和体外试验，以验证所提出的无损压缩算法的性能。结果表明，与所有其他现有工作相比，该算法为无线胶囊内窥镜检查提供了一种无损且可接受的压缩水平的解决方案。

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