Applying perceptually correct 3D film noise
First Claim
Patent Images
1. A method comprising:
- accessing a left eye (LE) image and a right eye (RE) image that represent a 3D image;
filtering the LE image and the RE image to reduce undesirable noise;
determining, based on depth information relating to the LE and RE image, one or more first depths of a first 3D image feature in the 3D image;
applying, after the filtering, one or more noise patterns to the first 3D image feature in the 3D image based on the one or more first depths of the first 3D image feature in the 3D image;
determining, based on the depth information relating to the LE and RE image, one or more second depths of a second 3D image feature in the 3D image; and
applying the one or more noise patterns to the second 3D image feature in the 3D image based on the one or more second depths of the second 3D image feature in the 3D image;
wherein the one or more noise patterns are applied to the first 3D image feature with one or more first spatial frequency components that are different from one or more second spatial frequency components with which the one or more noise patterns are applied to the second 3D image feature.
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Abstract
Perceptually correct noises simulating a variety of noise patterns or textures may be applied to stereo image pairs each of which comprises a left eye (LE) image and a right eye (RE) image that represent a 3D image. LE and RE images may or may not be noise removed. Depth information of pixels in the LE and RE images may be computed from, or received with, the LE and RE images. Desired noise patterns are modulated onto the 3D image or scene so that the desired noise patterns are perceived to be part of 3D objects or image details, taking into account where the 3D objects or image details are on a z-axis perpendicular to an image rendering screen on which the LE and RE images are rendered.
22 Citations
20 Claims
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1. A method comprising:
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accessing a left eye (LE) image and a right eye (RE) image that represent a 3D image; filtering the LE image and the RE image to reduce undesirable noise; determining, based on depth information relating to the LE and RE image, one or more first depths of a first 3D image feature in the 3D image; applying, after the filtering, one or more noise patterns to the first 3D image feature in the 3D image based on the one or more first depths of the first 3D image feature in the 3D image; determining, based on the depth information relating to the LE and RE image, one or more second depths of a second 3D image feature in the 3D image; and applying the one or more noise patterns to the second 3D image feature in the 3D image based on the one or more second depths of the second 3D image feature in the 3D image; wherein the one or more noise patterns are applied to the first 3D image feature with one or more first spatial frequency components that are different from one or more second spatial frequency components with which the one or more noise patterns are applied to the second 3D image feature. - View Dependent Claims (2, 3)
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4. A method comprising:
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accessing a left eye (LE) image and a right eye (RE) image that represent a 3D image; filtering the LE image and the RE image to reduce undesirable noise; determining, based on depth information relating to the LE and RE image, one or more first depths of a first 3D image feature in the 3D image; applying, after the filtering, one or more noise patterns to the first 3D image feature in the 3D image based on the one or more first depths of the first 3D image feature in the 3D image; overemphasizing one or more high spatial frequency components in the one or more noise patterns to a 3D image feature in the 3D image, wherein the 3D image feature is closer to a viewer than other 3D image features in the 3D image. - View Dependent Claims (5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method comprising:
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receiving a left eye (LE) image and a right eye (RE) image that represent a 3D image; determining, based on depth information relating to the LE and RE image, one or more first depths of a first 3D image feature in the 3D image; and applying one or more noise patterns to the first 3D image feature in the 3D image based on the one or more first depths of the first 3D image feature in the 3D image, wherein a spatial frequency of the one or more noise patterns is dependent on the depth information; determining, based on the depth information relating to the LE and RE image, one or more second depths of a second 3D image feature in the 3D image; and applying the one or more noise patterns to the second 3D image feature in the 3D image based on the one or more second depths of the second 3D image feature in the 3D image; wherein the one or more noise patterns are applied to the first 3D image feature with one or more first spatial frequency components that are different from one or more second spatial frequency components with which the one or more noise patterns are applied to the second 3D image feature. - View Dependent Claims (17, 18)
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19. A method comprising:
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receiving a left eye (LE) image and a right eye (RE) image that represent a 3D image; determining, based on depth information relating to the LE and RE image, one or more first depths of a first 3D image feature in the 3D image; and applying one or more noise patterns to the first 3D image feature in the 3D image based on the one or more first depths of the first 3D image feature in the 3D image, wherein a spatial frequency of the one or more noise patterns is dependent on the depth information; overemphasizing one or more high spatial frequency components in the one or more noise patterns to a 3D image feature in the 3D image, wherein the 3D image feature is closer to a viewer than other 3D image features in the 3D image. - View Dependent Claims (20)
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Specification