Lossless and low-power image compressor for wireless capsule endoscopy

Authors:
Tareq Hasan Khan;Khan A. Wahid
Affiliations:
Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada;Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada
Venue:
VLSI Design
Year:
2011

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Abstract

We present a lossless and low-complexity image compression algorithm for endoscopic images. The algorithm consists of a static prediction scheme and a combination of golomb-rice and unary encoding. It does not require any buffer memory and is suitable to work with any commercial low-power image sensors that output image pixels in raster-scan fashion. The proposed lossless algorithm has compression ratio of approximately 73% for endoscopic images. Compared to the existing lossless compression standard such as JPEG-LS, the proposed scheme has better compression ratio, lower computational complexity, and lesser memory requirement. The algorithm is implemented in a 0.18 µm CMOS technology and consumes 0.16mm × 0.16mm silicon area and 18 µW of power when working at 2 frames per second.