Point Divergence Gain and Multidimensional Data Sequences Analysis

We introduce novel information-entropic variables—a Point Divergence Gain (Ω α ), a Point Divergence Gain Entropy (Iα), and a Point Divergence Gain Entropy Density (Pα)—which are derived from the Rényi entropy and describe spatio-temporal changes between two consecutive discrete multidimensional distributions. The behavior of Ω α is simulated for typical distributions and, together with Iα and Pα, applied in analysis and characterization of series of multidimensional datasets of computer-based and real images.