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Network Biology, 2018, 8(1): 35-43
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Article

High efficiency and subsample based image coding algorithm for capsule endoscopy

Nithin Varma Malathkar, Surender Kumar Soni
Department of Electronic and Communication Engineering, National Institute of Technology, Hamirpur-177005, India

Received 13 October 2017;Accepted 20 December 2017;Published 1 March 2018
IAEES

Abstract
A simple and efficient image compression algorithm for the capsule endoscopy is given in this paper. The algorithm consist of simplified RGB-YUV colour transform, corner clipping, differential pulse code modulation and Golomb-Rice code. Here, different sub-sampling schemes have been tested on the chroma components. The proposed algorithm do not required any extra memory and has a low computational complexity. The proposed work supports the image sensor which sends the data in zigzag order. The proposed algorithm provides a compression ratio of 83.7% at peak signal noise ratio 45.8. The proposed algorithm provide competition to other works with respect to compression ratio and with JPEG-LS give better performance in terms of compression ratio, memory usage and computational complexity.

Keywords capsule endoscopy;image compression;YUV colour space;subsampling;DPCM;Golomb code.

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