Comparative survey of ultrasound images compression methods dedicated to a tele-echography robotic system

Abstract

Proposes an evaluation of various compression techniques, for ultrasound image transmission, within a telemedicine project. For the purpose of this work, we selected seven compression methods: Fourier transform, discrete cosine transform, wavelets, quadtrees transform, fractals, histogram thresholding, and run length coding. Preliminary results obtained on echographic images show that the method based upon the wavelet transform seems to give the best compromise between coding performance and image quality, measured thanks to mean square error and coding time.