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The principal components of natural images revisited

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1 Author(s)
Heidemann, G. ; Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL, USA

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.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:28 ,  Issue: 5 )