Development of a wireless capsule endoscope system based on field programmable gate array



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) 

CLC number

TP 212.9 

Document code


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    CHEN D M, HU C, WANG L, et al. The force model of wireless active actuation for capsule endoscope in the GI tract [C]//Robotics and Biomimetics. Sanya, China: IEEE international Conference, 2007: 93–98.Google Scholar
  2. [2]
    MOSTAFA A, WAHID K, KO S B. An efficient YCgCo-based image compression algorithm for capsule endoscopy [C]//International Conference on Computer and Information Technology (ICCIT). Bhaka, Bangladsh: [s.n.], 2011: 219–222.Google Scholar
  3. [3]
    CHEN X K, ZHANG X Y, ZHANG L W, et al. A wireless capsule endoscope system with low-power controlling and processing ASIC [J]. IEEE Transactions on Biomedical Circuits and Systems, 2009, 3(1): 11–22.CrossRefGoogle Scholar
  4. [4]
    JI Y G. Wireless capsule endoscope based on FPGA hardware JPEG compressor [D]. Shanghai, China: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 2015 (in Chinese).Google Scholar
  5. [5]
    KHAN T H, WAHID K A. Design of a lossless image compression system for video capsule endoscopy and its performance in in-vivo trials [J]. Sensors, 2014, 14(11): 20779–20799.CrossRefGoogle Scholar
  6. [6]
    FANTE K A, BHAUMIK B, CHATTERJEE S. Design and implementation of computationally efficient image compressor for wireless capsule endoscopy [J]. Circuits, Systems, and Signal Processing, 2016, 35(5): 1677–1703.CrossRefGoogle Scholar
  7. [7]
    GU Y K, XIE X, LI G L, et al. Design of endoscopic capsule with multiple cameras [J]. IEEE Transactions on Biomedical Circuits and Systems, 2015, 9(4): 590–602.CrossRefGoogle Scholar
  8. [8]
    LI J, DENG Y J. Fast compression algorithms for capsule endoscope images [C]//International Congress on Image and Signal Processing. Tianjin, China: [s.n.], 2009: 1–4.Google Scholar

Copyright information

© Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina

Personalised recommendations