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US 6,272,234 B1Granted
Contrast adjustment in a laser imager
AssigneeEastman Kodak Company
InventorRobert T. Krogstad
Life of this patent
Estimating the term…
Abstract
A method of processing a digital image comprising the steps of: providing a digital medical image; and processing the digital medical image for contrast as follows: for contrast <0 use a linear function to calculate the entire contrast look-up-table; for contrast 0, the contrast look-up-table is an identity table, and for contrast greater than 0, a linear function is used to calculate the linear region and for regions near Dmin and Dmax, the nonlinear function y=xn is used.
Claims2
A method of processing a digital image comprising the steps of:
- providing a digital medical image;
- and
- processing siad digital medical image for contrast as follows:
- for contrast <0 use a linear function to calculate the entire contrast look-up-table;
- for contrast 0, the contrast look-up-table is an identity table, and
- for contrast greater than 0, linear function is used to calculate the linear region and for regions near Dmin and Dmax, the nonlinear function y=xn is used wherein for contrast <0, said linear function is
- contrast (cv)=cv+[(slope−1) * (cv−pivot)cv]
- where “cv” is the code value having a value of 0 to 2n−1;
- “slope” is the ratio between no change and the desired slope;
- “pivot” is a fixed cv having value between 0 and 2n−1, and n is the depth of the digital image pixel in bits.
7 more elements
A method of processing a digital image comprising the steps of:
- providing a digital medical image;
- and
- processing said digital medical image for contrast as follows:
- for contrast <0 use a linear function to calculate the entire contrast look-up-table;
- for contrast 0, the contrast look-up-table is an identity table, and
- for contrast greater than 0, a linear function is used to calculate the linear region and for regions near Dmin and Dmax, the nonlinear function y=xn is used wherein for contrast greater than 0, said nonlinear function is y = slope n n n * ( n - 1 ) ( n - 1 ) ( slope - 1 ) ( n - 1 ) * x n pivot ( n - 1 )
- where “slope” is the ratio between no change and the desired slope;
- “pivot” is a fixed code value having a value between 0 and 2n31 1;
- and
- “n” the depth of the digital image pixel in bits.
7 more elements
Dependencies are inferred from the claim text.