Fast linear method of illumination classification

Ted J. Cooper; Farhan A. Baqai

doi:10.1117/12.474877

13 January 2003 Fast linear method of illumination classification

Ted J. Cooper, Farhan A. Baqai

Proceedings Volume 5008, Color Imaging VIII: Processing, Hardcopy, and Applications; (2003) https://doi.org/10.1117/12.474877
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

We present a simple method for estimating the scene illuminant for images obtained by a Digital Still Camera (DSC). The proposed method utilizes basis vectors obtained from known memory color reflectance to identify the memory color objects in the image. Once the memory color pixels are identified, we use the ratios of the red/green and blue/green to determine the most likely illuminant in the image. The critical part of the method is to estimate the smallest set of basis vectors that closely represent the memory color reflectances. Basis vectors obtained from both Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are used. We will show that only two ICA basis vectors are needed to get an acceptable estimate.

Citation Download Citation

Ted J. Cooper and Farhan A. Baqai "Fast linear method of illumination classification", Proc. SPIE 5008, Color Imaging VIII: Processing, Hardcopy, and Applications, (13 January 2003); https://doi.org/10.1117/12.474877

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