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- W4230962068 abstract "This article presents a derivation of a new relative fractal dimension spectrum, DRq, to measure the dis-similarity between two finite probability distributions originating from various signals. This measure is an extension of the Kullback-Leibler (KL) distance and the Rényi fractal dimension spectrum, Dq. Like the KL distance, DRq determines the dissimilarity between two probability distibutions X and Y of the same size, but does it at different scales, while the scalar KL distance is a single-scale measure. Like the Rényi fractal dimension spectrum, the DRq is also a bounded vectorial measure obtained at different scales and for different moment orders, q. However, unlike the Dq, all the elements of the new DRq become zero when X and Y are the same. Experimental results show that this objective measure is consistent with the subjective mean-opinion-score (MOS) when evaluating the perceptual quality of images reconstructed after their compression. Thus, it could also be used in other areas of cognitive informatics." @default.
- W4230962068 created "2022-05-11" @default.
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- W4230962068 date "2011-05-24" @default.
- W4230962068 modified "2023-09-27" @default.
- W4230962068 title "A Relative Fractal Dimension Spectrum for a Perceptual Complexity Measure" @default.
- W4230962068 doi "https://doi.org/10.4018/978-1-60566-902-1.ch020" @default.
- W4230962068 hasPublicationYear "2011" @default.
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