Detection of distortion in small moving images compared to the predictions of spatial-temporal model

Kjell E. Brunnstroem; Bo N. Schenkman; Albert J. Ahumada Jr.

doi:10.1117/12.387154

2 June 2000 Detection of distortion in small moving images compared to the predictions of spatial-temporal model

Kjell E. Brunnstroem, Bo N. Schenkman, Albert J. Ahumada Jr.

Proceedings Volume 3959, Human Vision and Electronic Imaging V; (2000) https://doi.org/10.1117/12.387154
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

The image sequence discrimination model we use models optical blurring and retinal light adaptation. Two parallel channels, sustained and transient, with different masking rules based on contrast gain control, are used. Performance of the model was studied for two tasks representative of a video communication system with versions of monochrome H.263 compressed images. In the first study, five image sequences constituted pairs of non-compressed and compressed images to be discriminated with a 2-alternative-forced-choice method together with a staircase procedure. The thresholds for each subject were calculated. Analysis of variance showed that the differences between the pictures were significant. The model threshold was close to the average of the subjects for each picture, and the model thus predicted these results quite well. In the second study, the effect of transmission errors on the Internet, i.e. packet losses, was tested with the method of constant stimuli. Both reference and comparison image was distorted. The task of the subjects was to judge whether the presented video quality was worse than the initially seen reference video. Two different quality levels of the compressed sequences were simulated. The differences in the thresholds among the different video scenes were to some extent predicted by the model. Category scales indicate that detection of distortions and overall quality judgements are based on different psychological processes.

Citation Download Citation

Kjell E. Brunnstroem, Bo N. Schenkman, and Albert J. Ahumada Jr. "Detection of distortion in small moving images compared to the predictions of spatial-temporal model", Proc. SPIE 3959, Human Vision and Electronic Imaging V, (2 June 2000); https://doi.org/10.1117/12.387154

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Distortion

Image quality

Video

Video compression

Visual process modeling

Image compression

Internet

Show All Keywords

Keywords/Phrases

Search In:

Publication Years