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.
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References
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.
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.
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.
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).
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.
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.
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.
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.
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Foundation item: the National Nature Science Foundation of China (Nos. 30800235, 31271069)
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Li, S., Liu, H. Development of a wireless capsule endoscope system based on field programmable gate array. J. Shanghai Jiaotong Univ. (Sci.) 22, 156–160 (2017). https://doi.org/10.1007/s12204-017-1815-7
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DOI: https://doi.org/10.1007/s12204-017-1815-7