System and method for digital image tone mapping using an...

Facsimile and static presentation processing – Static presentation processing – Attribute control

Reexamination Certificate

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C358S003210, C358S519000, C358S521000, C358S522000, C382S169000

Reexamination Certificate

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07023580

ABSTRACT:
An adaptive image tone mapping curve based on perceptual preference guidelines is generated as a sigmoidal function, in which the sigmoidal function parameters (slope and shift) are determined by original image statistics. Tone curves generated for different images each have a smooth sigmoidal shape, so that the tone mapping process does not change the image histogram shape drastically. The sigmoidal function has the form:t⁢(x)=1001+exp⁢(-α⁢(x/100-β)),where α is the slope parameter and β is the shift parameter. The input value x in the sigmoidal function varies in the range [0, 100], because the tone curve is generated on an L* scale, which has values from 0 to 100. The sigmoidal tone curve calculation can be implemented efficiently using simple arithmetic operations by pre-calculating and storing various factors used in the calculation of α and β and by pre-generating a pair of fixed tone curves with two extreme slopes and interpolating between the curves.

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