Perception Based Color Image Difference

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dc.contributor.authorNeumann, Laszloen_US
dc.contributor.authorMatkovic, Kresimiren_US
dc.contributor.authorPurgathofer, Werneren_US
dc.date.accessioned2015-02-15T19:15:08Z
dc.date.available2015-02-15T19:15:08Z
dc.date.issued1998en_US
dc.description.abstractA good image metric is often needed in digital image synthesis. It can be used to check the convergence behavior in progressive methods, to compare images rendered using various rendering methods etc. Since images are rendered to be observed by humans, an image metric should correspond to human perception as well. We propose here a new algorithm which operates in the original image space. There is no need for Fourier or wavelet transforms. Furthermore, the new metric is view distance dependent. The new method uses the contrast sensitivity function. The main idea is to place a number of various rectangles in images, and to compute the CIE LUV average color difference between corresponding rectangles. Errors are then weighted according to the rectangle size and the contrast sensitivity function.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume17en_US
dc.identifier.doi10.1111/1467-8659.00270en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages233-241en_US
dc.identifier.urihttps://doi.org/10.1111/1467-8659.00270en_US
dc.publisherBlackwell Publishers Ltd and the Eurographics Associationen_US
dc.titlePerception Based Color Image Differenceen_US
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