Simple and robust color saturation adjustment for digital...

Computer graphics processing and selective visual display system – Computer graphics processing – Attributes

Reexamination Certificate

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C345S604000

Reexamination Certificate

active

10922934

ABSTRACT:
A method and system for adjusting saturation in digital images that operates as closely as possible to the long-, medium-, short-(LMS) cone spectral response space. According to the method, a sensor component image such as an RGB image from a digital imager is input and converted to the LMS space. White point adaptation and equalization are performed on the LMS data. The saturation adjustment is then performed by applying a stretching transformation to the L and S LMS components with respect to the M component of each pixel.

REFERENCES:
patent: 2004/0042653 (2004-03-01), Hu
Alan Watt, “Fundamentals of Three Dimensional Computer Graphics,” Chapter 14.4, pp. 318-322, 1989 Addison-Wesley, ISBN 0-201-154420.
Mark D. Fairchild, “Color Appearance Models”, Chapter I, Human Color Vision, pp. 3-39, 1997 Addison-Wesley, ISBN 0-201-63464-3.
Richard L. Gregory, “Eye and Brain”, Chapter 7, pp. 121-135, Princeton Science Library, ISBN 0-691-04837-1, 1997.
Kobus Barnard, Vlad Cardei and Brian Funt, “A Comparison of Computational Color Constancy Algorithms; Part One”, Available from http:www.cs.berkeley.edu/tilde sign kobus/research/publications/comparison—1/comparison—1.pdf, 2002.
Kobus Barnard, Lindsay Martin, Adam Coath, and Brian Funt, “A Comparison of Computational Color Constancy Algorithms; Part Two”, Available from http://www.cs.berkeley.edu/tilde sign/kobus/research/publications/comparison-—2/comparison—2.pdf, 2002.
Mark D. Fairchild, “Color Appearance Models”, Chapter I0, Color Appearance Models, pp. 217-230, 1997 Addison-Wesley, ISBN 0-201-63464-3.

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