上海交通大学学报（英文版） ›› 2017, Vol. 22 ›› Issue (2): 156-160.doi: 10.1007/s12204-017-1815-7

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Development of a Wireless Capsule Endoscope System Based on Field Programmable Gate Array

LI Siqing*(李四青), LIU Hua (刘华)   

  1. (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)
  • 出版日期:2017-03-31 发布日期:2017-04-04
  • 通讯作者: LI Siqing(李四青) E-mail:lisiqing@sjtu.edu.cn

Development of a Wireless Capsule Endoscope System Based on Field Programmable Gate Array

LI Siqing*(李四青), LIU Hua (刘华)   

  1. (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)
  • Online:2017-03-31 Published:2017-04-04
  • Contact: LI Siqing(李四青) E-mail:lisiqing@sjtu.edu.cn

摘要： A new modular and programmable wireless capsule endoscope is presented in this paper. The capsule system consumes low power and has small physical size. A new image compression algorithm is presented in this paper to reduce power consumption and silicon area. The compression algorithm includes color space transform, uniform quantization, sub-sampling, differential pulse code modulation (DPCM) and Golomb-Rice code. The algorithm is tested in a field programmable gate array (FPGA) development board, and the final result achieves 80% compression rate at 40 dB peak signal to noise ratio (PSNR). The algorithm has high image compression efficiency and low power consumption, compared to other existing works. The system is composed of the following three parts: image capsule endoscope, portable wireless receiver and host computer software. The software and hardware design of the three parts are disscussed in details.

关键词: capsule endoscope, portable receiver, compression algorithm, field programmable gate array (FPGA)

Abstract: A new modular and programmable wireless capsule endoscope is presented in this paper. The capsule system consumes low power and has small physical size. A new image compression algorithm is presented in this paper to reduce power consumption and silicon area. The compression algorithm includes color space transform, uniform quantization, sub-sampling, differential pulse code modulation (DPCM) and Golomb-Rice code. The algorithm is tested in a field programmable gate array (FPGA) development board, and the final result achieves 80% compression rate at 40 dB peak signal to noise ratio (PSNR). The algorithm has high image compression efficiency and low power consumption, compared to other existing works. The system is composed of the following three parts: image capsule endoscope, portable wireless receiver and host computer software. The software and hardware design of the three parts are disscussed in details.

Key words: capsule endoscope, portable receiver, compression algorithm, field programmable gate array (FPGA)

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