A new near-lossless image compression algorithm suitable for hardware design in wireless endoscopy system

Author

Xie, Xiang ; Li, GuoLin ; Li, DongMei ; Zhang, Chun ; Wang, ZhiHua

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

Volume

1

fYear

2005

fDate

11-14 Sept. 2005

Abstract

In order to decrease the communication bandwidth and save the transmitting power in the wireless endoscopy capsule, this paper presents a new near-lossless image compression algorithm suitable for hardware design based on the Bayer format image. This algorithm can provide low average compression rate (2.12 bits/pixel) with high image quality (larger than 53.11 dB) for endoscopic images. Especially, it has low complexity hardware overload and supports real-time compressing. In addition, the algorithm can provide lossless compression for the region of interest (ROI) and high quality compression for other regions. The ROI can be selected arbitrarily by varying ROI parameters.

Keywords

data compression; endoscopes; image coding; image colour analysis; image reconstruction; image resolution; medical image processing; Bayer format image; communication bandwidth; hardware design; image quality; near-lossless image compression algorithm; power transmission; real-time compression; region of interest; wireless endoscopy capsule; Algorithm design and analysis; Bandwidth; CMOS image sensors; Compression algorithms; Endoscopes; Hardware; Image coding; Low pass filters; Sensor arrays; Wireless sensor networks; Bayer format; ROI; Wireless endoscopy system; hardware design; near-lossless compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2005. ICIP 2005. IEEE International Conference on

Print_ISBN

0-7803-9134-9

Type

conf

DOI

10.1109/ICIP.2005.1529953

Filename

1529953