Lossless and Low-Power Image Compressor for Wireless Capsule Endoscopy

Abstract EN

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 0.16 mm × 0.16 mm silicon area and 18 μW of power when working at 2 frames per second.