Abstract
Color image difference metrics have been proposed to find differences between an original image and a modified version of it. One of these metrics is the hue angle algorithm proposed by Hong and Luo in 2002. This metric does not take into account the spatial properties of the human visual system, and could therefore miscalculate the difference between an original image and a modified version of it. Because of this we propose a new color image difference metrics based on the hue angle algorithm that takes into account the spatial properties of the human visual system. The proposed metric, which we have named SHAME (Spatial Hue Angle MEtric), have been subjected to extensive testing. The results show improvement in performance compared to the original metric proposed by Hong and Luo. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Pedersen, M., & Hardeberg, J. Y. (2009). A new spatial hue angle metric for perceptual image difference. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5646 LNCS, pp. 81–90). https://doi.org/10.1007/978-3-642-03265-3_9
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