On the design of an image compression scheme based upon a priori knowledge about imaging system and image statistics

C. H. Slump*, F. J. de Bruijn, P. J.A. Hagendoorn

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


This contribution is about the design of an image compression scheme for near loss-less image compression of a restricted class of images and a specific application. The images are digital diagnostic X-ray images of the coronary vessels of the human heart. This paper proposes a novel compression scheme with a compression ratio of 8 - 10 with preservation of the diagnostic image quality. Central in our approach is the amount of information a trained and highly skilled observer i.e. the cardiologist is able discern at a given exposure and thus quantum noise level. The physics of the image detection process together with the a priori knowledge of the imaging system are the basis of the image statistics. Relevant elements of the human visual system complete the stochastic characterization of imaging process whereon the compression scheme is based.

Original languageEnglish
Title of host publication1996 8th European Signal Processing Conference (EUSIPCO 1996)
Publication statusPublished - 2015
Event8th European Signal Processing Conference, EUSIPCO 1996 - Trieste, Italy
Duration: 10 Sept 199613 Sept 1996
Conference number: 8


Conference8th European Signal Processing Conference, EUSIPCO 1996
Abbreviated titleEUSIPCO 1996

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