Modulation transfer function as a quality measure for compressed images transmitted over a lossy packet network

O. Hadar; A. Stern; M. Huber; R. Huber

doi:10.1117/1.1397766

Modulation transfer function as a quality measure for compressed images transmitted over a lossy packet network

O. Hadar, A. Stern, M. Huber, R. Huber

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

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). Our goal is to use the MTF as an image quality measure of image compression implemented by the JPEG (Joint Photographic Experts Group) algorithm and transmitted MPEG (Motion Picture Experts 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 nonlinearity shift-variant process, we examine the conditions under which it can be used as an approximated criterion for image quality. The advantage of using the MTF of the compression algorithm is that it can be easily combined with the overall MTF of the imaging system.

Original language	English
Pages (from-to)	2134-2142
Number of pages	9
Journal	Optical Engineering
Volume	40
Issue number	10
DOIs	https://doi.org/10.1117/1.1397766
State	Published - 1 Oct 2001

Keywords

Image compression
Joint Photographic Experts Group
Modulation transfer function
Motion Picture Experts Group
Packet loss models
Peak signal-to-noise ratio
Video compression

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
General Engineering

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10.1117/1.1397766

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title = "Modulation transfer function as a quality measure for compressed images transmitted over a lossy packet network",

abstract = "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). Our goal is to use the MTF as an image quality measure of image compression implemented by the JPEG (Joint Photographic Experts Group) algorithm and transmitted MPEG (Motion Picture Experts 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 nonlinearity shift-variant process, we examine the conditions under which it can be used as an approximated criterion for image quality. The advantage of using the MTF of the compression algorithm is that it can be easily combined with the overall MTF of the imaging system.",

keywords = "Image compression, Joint Photographic Experts Group, Modulation transfer function, Motion Picture Experts Group, Packet loss models, Peak signal-to-noise ratio, Video compression",

author = "O. Hadar and A. Stern and M. Huber and R. Huber",

note = "Funding Information: We would like to thank Doron Fuchs and Hanan Dagan for their help in coding the simulation software, and the Computer Network Laboratory Faculty of Electrical Engineering in the Technion. This research was supported in part by the Israeli Ministry of Science under grant no. 2105.",

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AU - Stern, A.

AU - Huber, M.

AU - Huber, R.

N1 - Funding Information: We would like to thank Doron Fuchs and Hanan Dagan for their help in coding the simulation software, and the Computer Network Laboratory Faculty of Electrical Engineering in the Technion. This research was supported in part by the Israeli Ministry of Science under grant no. 2105.

PY - 2001/10/1

Y1 - 2001/10/1

N2 - 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). Our goal is to use the MTF as an image quality measure of image compression implemented by the JPEG (Joint Photographic Experts Group) algorithm and transmitted MPEG (Motion Picture Experts 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 nonlinearity shift-variant process, we examine the conditions under which it can be used as an approximated criterion for image quality. The advantage of using the MTF of the compression algorithm is that it can be easily combined with the overall MTF of the imaging system.

AB - 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). Our goal is to use the MTF as an image quality measure of image compression implemented by the JPEG (Joint Photographic Experts Group) algorithm and transmitted MPEG (Motion Picture Experts 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 nonlinearity shift-variant process, we examine the conditions under which it can be used as an approximated criterion for image quality. The advantage of using the MTF of the compression algorithm is that it can be easily combined with the overall MTF of the imaging system.

KW - Image compression

KW - Joint Photographic Experts Group

KW - Modulation transfer function

KW - Motion Picture Experts Group

KW - Packet loss models

KW - Peak signal-to-noise ratio

KW - Video compression

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DO - 10.1117/1.1397766

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EP - 2142

JO - Optical Engineering

JF - Optical Engineering

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Modulation transfer function as a quality measure for compressed images transmitted over a lossy packet network

Abstract

Keywords

ASJC Scopus subject areas

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