An adaptive linear system framework for image distortion analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe a framework for decomposing the distortion between two images into a linear combination of components. Unlike conventional linear bases such as those in Fourier or wavelet decompositions, a subset of the components in our representation are not fixed, but are adaptively computed from the input images. We show that this framework is a generalization of a number of existing image comparison approaches. As an example of a specific implementation, we select the components based on the structural similarity principle, separating the overall image distortions into non-structural distortions (those that do not change the structures of the objects in the scene) and the remaining structural distortions. We demonstrate that the resulting measure is effective in predicting image distortions as perceived by human observers.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Pages1160-1163
Number of pages4
DOIs
StatePublished - Dec 1 2005
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: Sep 11 2005Sep 14 2005

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume3
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing 2005, ICIP 2005
CountryItaly
CityGenova
Period9/11/059/14/05

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Wang, Z., & Simoncelli, E. P. (2005). An adaptive linear system framework for image distortion analysis. In IEEE International Conference on Image Processing 2005, ICIP 2005 (pp. 1160-1163). [1530603] (Proceedings - International Conference on Image Processing, ICIP; Vol. 3). https://doi.org/10.1109/ICIP.2005.1530603