Learning the Mosaic: Unsupervised Identification of Sensor Spectral Types

David Brainard

doi:10.1364/ISA.2011.IMD1

Imaging and Applied Optics
OSA Technical Digest (CD) (Optica Publishing Group, 2011),
paper IMD1
•https://doi.org/10.1364/ISA.2011.IMD1

Learning the Mosaic: Unsupervised Identification of Sensor Spectral Types

David Brainard

Imaging Systems and Applications 2011

Toronto Canada
10–14 July 2011
ISBN: 978-1-55752-914-5

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Human Vision and Imaging Systems (IMD)

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D. Brainard, "Learning the Mosaic: Unsupervised Identification of Sensor Spectral Types," in Imaging and Applied Optics, OSA Technical Digest (CD) (Optica Publishing Group, 2011), paper IMD1.

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Abstract

Accurate processing of color information requires knowledge of the spectral class of each light-sensitive receptor. Unsupervised learning algorithms can identify the class of individual sensors in a mosaic from the sensor responses to natural images.

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