Low complexity image compression algorithm based on hybrid DPCM for wireless capsule endoscopy

•A low computational complexity image compression algorithm for capsule endoscopy using hybrid DPCM is proposed.•Competitive compression ratio for soft images and better compression ratio for sharp images is achieved.•The proposed hybrid DPCM is lossless and simple, which provide good result for all...

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Bibliographic Details
Published in:Biomedical signal processing and control 2019-02, Vol.48, p.197-204
Main Authors: Varma Malathkar, Nithin, Kumar Soni, Surender
Format: Article
Language:English
Subjects:
Capsule endoscopy
Golomb-Rice code
Hybrid differential pulse code modulation
YEN colour space
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Summary:•A low computational complexity image compression algorithm for capsule endoscopy using hybrid DPCM is proposed.•Competitive compression ratio for soft images and better compression ratio for sharp images is achieved.•The proposed hybrid DPCM is lossless and simple, which provide good result for all types of images.•A new colour space YEN is used, which designed for WCE images and modified signed Golomb Rice code with small skip code is designed. A lossless image compression algorithm with low computational complexity and to provide high image quality in limited bandwidth transmission is proposed in the paper. New algorithm is based on a new YEN colour transform for WCE images, improved and modified DPCM technique known as hybrid DPCM and new signed Golomb code with less bits skip code. The proposed compression algorithm provides better and efficient computational simplicity and improves compression ratio by 2.3% as compared to traditionally used DPCM based compression algorithms.
ISSN:1746-8094
1746-8108
DOI:10.1016/j.bspc.2018.10.016