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A complexity-efficient and one-pass image compression algorithm for wireless capsule endoscopy

Issue title: Papers from the 3rd International Conference on Biomedical Engineering and Technology (iCBEB 2014), 25–28 September 2014, Beijing, China

Subtitle:

Guest editors: Edward J. Ciaccio

Article type: Research Article

Authors: Liu, Gang* | Yan, Guozheng | Zhao, Shaopeng | Kuang, Shuai

Affiliations: Institute of Precise Engineering and Intelligent Microsystems, Shanghai Jiao Tong University, Shanghai, China

Correspondence: [*] Corresponding author: Gang Liu, Institute of Precise Engineering and Intelligent Microsystems, Shanghai Jiao Tong University, No. 800 Dongchuan, Minhang district, Shanghai 200240, China. Tel.: +86 21 34204434; Fax: +86 21 34204434; E-mail:[email protected]

Keywords: Wireless capsule endoscopy (WCE), image compression, one-pass, causal interpolation, gradient predictor

DOI: 10.3233/THC-150959

Journal: Technology and Health Care, vol. 23, no. s2, pp. S239-S247, 2015

Published: 2015
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Abstract

BACKGROUND: As an important part of the application-specific integrated circuit (ASIC) in wireless capsule endoscopy (WCE), the efficient compressor is crucial for image transmission and power consumption.

OBJECTIVE: In this paper, a complexity-efficient and one-pass image compression method is proposed for WCE with Bayer format images. The algorithm is modified from the standard lossless algorithm (JPEG-LS).

METHODS: Firstly, a causal interpolation is used to acquire the context template of a current pixel to be encoded, thus determining different encoding modes. Secondly, a gradient predictor, instead of the median predictor, is designed to improve the accuracy of the predictions. Thirdly, the gradient context is quantized to obtain the context index (Q). Eventually, the encoding process is achieved in different modes.

RESULTS: The experimental and comparative results show that our proposed near-lossless compression method provides a high compression rate (2.315) and a high image quality (46.31 dB) compared with other methods.

CONCLUSION: It performs well in the designed wireless capsule system and could be applied in other image fields.

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