Image representation and compression for capsule endoscope robot

Abstract

A capsule endoscope robot is a miniature medical instrument for inspecting human gastrointestinal tract. One of the objectives of the capsule endoscope robot is to wirelessly transmit as many captured images as possible, so an efficient representation and compression technique is required. In this paper, we present image representation and compression techniques for the capsule endoscope. First, the characteristics of the capsule endoscopic images are investigated. Secondly, the Cartesian, polar coordinate, and expanded square representations of the circular image are discussed. Then special DPCM, wavelet compression techniques are applied to get high compression ratio and signal to noise ratio.