High efficiency and subsample based image coding algorithm for capsule endoscopy

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