Compression of image sequences in interactive medical teleconsultations

Filip Malawski; Łukasz Czekierda

doi:10.7494/csci.2017.18.1.95

Authors

Filip Malawski AGH University of Science and Technology
Łukasz Czekierda AGH University of Science and Technology

DOI:

https://doi.org/10.7494/csci.2017.18.1.95

Keywords:

image compression, medical teleconsultations, telemedicine

Abstract

Interactive medical teleconsultations are an important tool in the modern medical practice. Their applications include remote diagnostics, conferences, workshops and classes for students. In many cases standard medium or low-end machines are employed and the teleconsultation systems must be able to provide high quality of user experience with very limited resources. Particularly problematic are large datasets, consisting of image sequences, which need to be accessed fluently. The main issue is insufficient internal memory, therefore proper compression methods are crucial. However, a scenario where image sequences are kept in a compressed format in the internal memory and decompressed on-the-fly when displayed, is difficult to implement due to performance issues. In this paper we present methods for both lossy and lossless compression of medical image sequences, which require only compatibility with Pixel Shader 2.0 standard, which is present even on relatively old, low-end devices. Based on the evaluation of quality, size reduction and performance, the methods are proved to be suitable and beneficial for the medical teleconsultation applications.

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Author Biographies

Filip Malawski, AGH University of Science and Technology

Computer Science Department

Łukasz Czekierda, AGH University of Science and Technology

Computer Science Department

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