JAGGED EDGE REDUCTION USING KERNEL REGRESSION
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Abstract
An image decoder includes a base layer to decode at least a portion of an encoded video stream into a first image having a first image format. The image decoder can generate a color space prediction by scaling a color space of the first image from the first image format into a color space corresponding to a second image format. The image decoder includes an enhancement layer to decode the encoded video stream to generate a second image in the second image format based, at least in part, on the color space prediction.
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Citations
30 Claims
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1-15. -15. (canceled)
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16. A method comprising:
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detecting edges in an image; and selectively applying kernel regression to portions of the image based, at least in part, on the detection of the edges in the image. - View Dependent Claims (17, 18, 19, 20)
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21. A method comprising:
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detecting an edge in an image; and dilating the detected edge of the image to include portions of the image adjacent to the detected edge in a dilated image region; and selectively applying kernel regression to the portions of the image within the dilated image region. - View Dependent Claims (22, 23, 24)
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25. A method comprising:
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detecting an edge in an image, including comparing the image to plural jagged edge configurations; and selectively applying kernel regression to portions of the image based, at least in part, on the detection of the edge in the image. - View Dependent Claims (26, 27, 28, 29, 30)
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Specification