29 January 2007 Nonlinear curve optimization in digital imaging
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Abstract
High dynamic compression of natural scenes and nonlinearity compensation of output devices are demanded as the output devices have limited dynamic range and color gamut, and devices such as Standard-RGB compliant displays and printers have different nonlinear responses to linear inputs. This paper describes a general framework of nonlinear curve optimization in digital imaging and its application to the determination of gamma look up table through curve parameterization. Three factors are considered, that is, the color appearance fidelity, the feature preservation, and the suppression of noise propagation.
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Shuxue Quan, Xiaoyun Jiang, "Nonlinear curve optimization in digital imaging", Proc. SPIE 6493, Color Imaging XII: Processing, Hardcopy, and Applications, 64930F (29 January 2007); doi: 10.1117/12.705952; https://doi.org/10.1117/12.705952
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