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

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

Robotics and Mechatronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

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 language	English
Title of host publication	1996 8th European Signal Processing Conference (EUSIPCO 1996)
Publication status	Published - 2015
Event	8th European Signal Processing Conference, EUSIPCO 1996 - Trieste, Italy Duration: 10 Sept 1996 → 13 Sept 1996 Conference number: 8

Conference

Conference	8th European Signal Processing Conference, EUSIPCO 1996
Abbreviated title	EUSIPCO 1996
Country/Territory	Italy
City	Trieste
Period	10/09/96 → 13/09/96

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

abstract = "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.",

author = "Slump, {C. H.} and {de Bruijn}, {F. J.} and Hagendoorn, {P. J.A.}",

note = "Publisher Copyright: {\textcopyright} 2015 European Signal Processing Conference, EUSIPCO. All rights reserved.; 8th European Signal Processing Conference, EUSIPCO 1996, EUSIPCO 1996 ; Conference date: 10-09-1996 Through 13-09-1996",

year = "2015",

language = "English",

isbn = "978-888-6179-83-6",

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T1 - On the design of an image compression scheme based upon a priori knowledge about imaging system and image statistics

AU - Slump, C. H.

AU - de Bruijn, F. J.

AU - Hagendoorn, P. J.A.

N1 - Conference code: 8

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85113887841&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85113887841

SN - 978-888-6179-83-6

BT - 1996 8th European Signal Processing Conference (EUSIPCO 1996)

T2 - 8th European Signal Processing Conference, EUSIPCO 1996

Y2 - 10 September 1996 through 13 September 1996

ER -

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

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