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A transformation-aware perceptual image metric

Kellnhofer, P; Ritschel, T; Myszkowski, K; Seidel, HP; (2015) A transformation-aware perceptual image metric. In: Rogowitz, BE and Pappas, TN and de Ridder, H, (eds.) Human Vision and Electronic Imaging XX. (pp. p. 939408). Society of Photo-Optical Instrumentation Engineers Green open access

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Abstract

Predicting human visual perception has several applications such as compression, rendering, editing and retargeting. Current approaches however, ignore the fact that the human visual system compensates for geometric transformations, e. g., we see that an image and a rotated copy are identical. Instead, they will report a large, false-positive difference. At the same time, if the transformations become too strong or too spatially incoherent, comparing two images indeed gets increasingly difficult. Between these two extrema, we propose a system to quantify the effect of transformations, not only on the perception of image differences, but also on saliency. To this end, we first fit local homographies to a given optical flow field and then convert this field into a field of elementary transformations such as translation, rotation, scaling, and perspective. We conduct a perceptual experiment quantifying the increase of difficulty when compensating for elementary transformations. Transformation entropy is proposed as a novel measure of complexity in a flow field. This representation is then used for applications, such as comparison of non-aligned images, where transformations cause threshold elevation, and detection of salient transformations.

Type: Proceedings paper
Title: A transformation-aware perceptual image metric
Event: Human Vision and Electronic Imaging XX, 9-12 February 2015, San Francisco, CA, USA
Location: San Francisco, CA
Dates: 09 February 2015 - 12 February 2015
ISBN-13: 9781628414844
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2076754
Publisher version: http://dx.doi.org/10.1117/12.2076754
Language: English
Additional information: Copyright © 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Keywords: Image metric, Motion, Optical flow, Homography, Saliency
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1524336
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