An information-theoretic approach to interactions in images GIUSEPPE BOCCIGNONE 1 and MARIO FERRARO2,* 1 Dipartimento di Ingegneria dell'Informazione e Ingegneria Elettrica, Universitá di Salerno and INFM, Unità di Salerno, via Ponte Don Melillo, 1, 84084 Fisciano (SA), Italy 2 Dipartimento di Fisica Sperimentale, Universitá di Torino and INFM, Unità di Torino, via Giuria 1, 10125 Turin, Italy Received 23 July 1998; accepted 23 February 1999 Abstract-In this paper it will be argued that the notion of interactions in images is closely related to that of entropy associated with an image, and it will be shown that interactions make processing of the information coming from the retina computationally less expensive. A procedure will be presented, based on the evolution of joint entropy across different scales, to gauge the contributions of different types of interactions to the structure of the images. INTRODUCTION The human visual system is very good at capturing and processing visual infor- mation. Visual patterns appear, in general, to have a well-defined structure and information is commonly associated with the amount of form/structure present in a pattern. The rationale behind this paper is that structure naturally emerges by considering an act of perception as a physical measurement
Spatial Vision (continued as Seeing & Perceiving from 2010) – Brill
Published: Jan 1, 1999
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