title: The principal components of natural images revisited.
abstract: This paper investigates the principal components (PCs) of natural gray and color images. A horizontal and vertical typology of PCs is found which leads to the identification of groups of basis functions for steerable bandpass filters. Using this system, the contribution of spatio-chromatic structure to the total variance can be quantified for selected spatial frequencies.
authors.affiliation: Department of Electrical and Computer Engineering, Florida A&M University, Tallahassee 32310, USA. gh@eng.fsu.edu
authors.forename: Gunther
authors.initials: G
authors.lastname: Heidemann
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D025341:Principal Component Analysis