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

[+] Author Affiliations
Xie Xiang

Tsinghua University,Department of Electronic Engineering, Beijing, China, 100084

Guo-Lin Li

Tsinghua University,Department of Electronic Engineering, Beijing, China, 100084

Zhi-hua Wang

Tsinghua University,Department of Electronic Engineering, Beijing, China, 100084

J. Electron. Imaging. 15(2), 023017 (May 02, 2006). doi:10.1117/1.2194032
History: Received May 19, 2005; Revised October 01, 2005; Accepted October 04, 2005; Published May 02, 2006
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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 3.5bitspixel with an image quality [peak SNR (PSNR)] greater than 46.37dB when seven standard color images are compressed. Furthermore, the average compression rate can reach 2.18bitspixel with a PSNR larger than 46.89dB 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 SPIE and IS&T

Citation

Xie Xiang ; Guo-Lin Li and Zhi-hua Wang
"Low-complexity and high-efficiency image compression algorithm for wireless endoscopy system", J. Electron. Imaging. 15(2), 023017 (May 02, 2006). ; http://dx.doi.org/10.1117/1.2194032


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