An efficient YUV-based image compression algorithm for wireless capsule endoscopy

Author

Mostafa, Atahar ; Wahid, K. ; Seok-Bum Ko

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada

fYear

2011

fDate

8-11 May 2011

Abstract

The paper presents an efficient image compression algorithm for wireless capsule endoscopy application. This algorithm works in YUV colour plane and exploits some special features of human endoscopic images. Based on the nature of endoscopic images, a set of transform-quantization pair is proposed that results in high compression while keeping the reconstruction quality over 45dB. Compared to other transform-based algorithms targeted to capsule endoscopy, the proposed scheme performs strongly with a compression ratio of 90% and high reconstruction PSNR and SSIM (over 48dB and 0.999).

Keywords

data compression; endoscopes; image coding; image colour analysis; image reconstruction; medical image processing; SSIM; YUV colour plane; YUV-based image compression algorithm; human endoscopic images; reconstruction PSNR; reconstruction quality; transform-based algorithm; transform-quantization pair; wireless capsule endoscopy; Algorithm design and analysis; Endoscopes; Image coding; Image color analysis; Image reconstruction; PSNR; Wireless communication; Capsule endoscopy; DCT II; Quantization Table; image compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on

Conference_Location

Niagara Falls, ON

ISSN

0840-7789

Print_ISBN

978-1-4244-9788-1

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2011.6030598

Filename

6030598