The number of all possible meaningful or discernible pictures

Authors:
Theo Pavlidis
Affiliations:
Department of Computer Science, Stony Brook University, Stony Brook, NY, 11794, United States
Venue:
Pattern Recognition Letters
Year:
2009

Citing 2
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Abstract

The paper provides lower bounds on the number of all possible images that appear meaningful to a human observer as well as the number of all possible images that appear pair-wise distinct to a human observer. These numbers suggest that it is impractical to construct training or testing sets of images that are dense in the set of all images unless the class of images is restricted.