Guided color grading for extended dynamic range
First Claim
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1. A method to perform color grading for obtaining a higher dynamic range color graded image, the method comprising the following computer-implemented steps:
- providing an ungraded image;
providing a color graded lower dynamic range image representing the same material as the ungraded image;
spatially and temporally aligning the ungraded image and the color graded lower dynamic range image thereby obtaining an aligned ungraded image; and
color grading the aligned ungraded image based on the color graded lower dynamic range image, thereby obtaining the higher dynamic range color graded image,wherein;
(a) the spatially and temporally aligning comprises;
detecting feature points in the ungraded image and in the color graded lower dynamic range image;
matching the feature points; and
estimating a transformation between the ungraded image and the color graded lower dynamic range image, based on the matching of the feature points, and(b) the detecting further comprises extracting feature descriptors in at least one local region of the ungraded image and at least one local region of the color graded lower dynamic range image, and wherein the matching further comprises matching the feature descriptors.
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Abstract
Novel methods and systems for color grading are disclosed. The color grading process for a visual dynamic range image can be guided by information relating to the color grading of other images such as the standard dynamic range image.
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Citations
18 Claims
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1. A method to perform color grading for obtaining a higher dynamic range color graded image, the method comprising the following computer-implemented steps:
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providing an ungraded image; providing a color graded lower dynamic range image representing the same material as the ungraded image; spatially and temporally aligning the ungraded image and the color graded lower dynamic range image thereby obtaining an aligned ungraded image; and color grading the aligned ungraded image based on the color graded lower dynamic range image, thereby obtaining the higher dynamic range color graded image, wherein; (a) the spatially and temporally aligning comprises; detecting feature points in the ungraded image and in the color graded lower dynamic range image; matching the feature points; and estimating a transformation between the ungraded image and the color graded lower dynamic range image, based on the matching of the feature points, and (b) the detecting further comprises extracting feature descriptors in at least one local region of the ungraded image and at least one local region of the color graded lower dynamic range image, and wherein the matching further comprises matching the feature descriptors. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method to perform color grading for obtaining a higher dynamic range master image, the method comprising the following computer-implemented steps:
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providing an ungraded image; providing a color graded lower dynamic range image representing the same material as the ungraded image; applying an inverse tone and gamut mapping transformation defined based on the dynamic range and color gamut of the higher dynamic range master image to the color graded lower dynamic range image, thereby obtaining an inversely mapped lower dynamic range image; providing a higher dynamic range editing, based on the ungraded image; and applying the higher dynamic range editing to the ungraded image to generate an edited ungraded image, and a color transformation to the edited ungraded image, wherein the color transformation is based on the ungraded image and the inversely mapped lower dynamic range image, thereby obtaining the higher dynamic range master image. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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Specification