US2014132621A1PendingUtilityA1

Efficient radial gradient fills

Assignee: CANON KKPriority: Aug 31, 2009Filed: Jan 22, 2014Published: May 15, 2014
Est. expiryAug 31, 2029(~3.1 yrs left)· nominal 20-yr term from priority
G06T 11/10G06T 11/40G06T 11/001
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Claims

Abstract

Disclosed is a method of rendering a radial gradient blend defined by a gradient function. The method identifies respective first and second radial limits for a point of the radial gradient blend, the respective first and second radial limits having known blend values and receives an estimated value of the gradient function for the point. The method determines a direction from the estimated value to an ideal value, wherein the ideal value is a value of the gradient function for the point and modifies the estimated value, based on the direction of the ideal value. The method checks the ideal value is within a predetermined threshold of the estimated value and stores a determined blend value for the point by interpolating between the known blend values of the respective first and second radial limits on the basis of the modified estimated value of the gradient function, to render the radial gradient blend.

Claims

exact text as granted — not AI-modified
1 . A method of determining a radial gradient blend defined by a gradient function, the method comprising:
 identifying respective first and second radial limits for a point of the radial gradient blend, the respective first and second radial limits having known blend values;   receiving an estimated value of the gradient function for the point;   determining a direction from the estimated value to an ideal value, wherein the ideal value is a value of the gradient function for the point;   modifying the estimated value, based on the direction of the ideal value;   checking the ideal value is within a predetermined threshold of the estimated value; and   determining and storing a resultant blend value for the point by modifying one of the known blend values of the respective first and second radial limits on the basis of the modified estimated value of the gradient function.

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