Low-complexity and high-efficiency image compression algorithm for wireless endoscopy system

Xiang Xie; GuoLin Li; ZhiHua Wang

doi:10.1117/1.2194032

1 April 2006 Low-complexity and high-efficiency image compression algorithm for wireless endoscopy system

Xiang Xie, GuoLin Li, ZhiHua Wang

Journal of Electronic Imaging, Vol. 15, Issue 2, 023017 (April 2006). https://doi.org/10.1117/1.2194032

Abstract

Digital still color video images play an important role in a wireless endoscopy system. It is vital to efficiently compress the medical images with high quality in such systems to decrease communication bandwidth and save the power in the capsule. We present a novel low-complexity and high-efficiency image compression algorithm for digital color image sensors with Bayer color filter arrays (CFAs), which is applied in the wireless endoscopy system we designed. The proposed algorithm includes three parts: lossless, near-lossless, and lossy compression. In the near-lossless compression part, the average compression rate is 3.5 bits/pixel with an image quality [peak SNR (PSNR)] greater than 46.37 dB when seven standard color images are compressed. Furthermore, the average compression rate can reach 2.18 bits/pixel with a PSNR larger than 46.89 dB when digestive tract images are compressed. In addition, the algorithm can provide lossless compression for the region of interest (ROI) and high-quality compression for other regions. A new lossy compression structure and a lowpass filter are applied in this lossy compression algorithm to achieve high compression performance. The proposed lossless, near-lossless, and lossy compression algorithm can provide lower compression rates in (bits per pixel) and lower complexities than any conventional interpolation-first algorithms and other existing similar compression-first algorithms.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Xiang Xie, GuoLin Li, and ZhiHua Wang "Low-complexity and high-efficiency image compression algorithm for wireless endoscopy system," Journal of Electronic Imaging 15(2), 023017 (1 April 2006). https://doi.org/10.1117/1.2194032

Published: 1 April 2006

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available