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Searching for image information content, its discovery, extraction, and representation

[+] Author Affiliations
Emanuel Diamant

VIDIA-mant, POB 933, Kiriat Ono 55100, Israel E-mail: emanl@012.net.il

J. Electron. Imaging. 14(1), 013016 (Mar. 17, 2005). doi:10.1117/1.1867476
History: Received Jan. 28, 2003; Revised Aug. 19, 2003; Accepted May 18, 2004; Mar. 17, 2005; Online March 17, 2005
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Image information content is known to be a complicated and a controversial problem. We posit a new image information content definition. Following the theory of Solomonoff-Kolmogorov-Chaitin’s complexity, we define image information content as a set of descriptions of image data structures. Three levels of such description can be generally distinguished: (1) the global level, where the coarse structure of the entire scene is initially outlined; (2) the intermediate level, where structures of separate, nonoverlapping image regions usually associated with individual scene objects are delineated; and (3) the low-level description, where local image structures observed in a limited and restricted field of view are resolved. A technique for creating such image information content descriptors is developed. Its algorithm is presented and elucidated with some examples, which demonstrate the effectiveness of the proposed approach. © 2005 SPIE and IS&T.

© 2005 SPIE and IS&T

Topics

Vision ; Brain

Citation

Emanuel Diamant
"Searching for image information content, its discovery, extraction, and representation", J. Electron. Imaging. 14(1), 013016 (Mar. 17, 2005). ; http://dx.doi.org/10.1117/1.1867476


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