MTF as a quality measure for compressed images transmitted over computer networks

Ofer Hadar, Adrian Stern, Merav Huber, Revital Huber

Research output: Contribution to journalConference articlepeer-review


One result of the recent advances in different components of imaging systems technology is that, these systems have become more resolution-limited and less noise-limited. The most useful tool utilized in characterization of resolution-limited systems is the Modulation Transfer Function (MTF). The goal of this work is to use the MTF as an image quality measure of image compression implemented by the JPEG (Joint Photographic Expert Group) algorithm and transmitted MPEG (Motion Picture Expert Group) compressed video stream through a lossy packet network. Although we realize that the MTF is not an ideal parameter with which to measure image quality after compression and transmission due to the non-linearity shift invariant process, we examine the conditions under which it can be used as an approximated criterion for image quality. The advantage in using the MTF of the compression algorithm is that it can be easily combined with the overall MTF of the imaging system.

Original languageEnglish
Pages (from-to)143-154
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1 Dec 1999
EventProceedings of the 1999 Mathematics of Data/Image Coding, Compression, and Encryption II - Denver, CO, USA
Duration: 19 Jul 199920 Jul 1999

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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