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Video super-resolution by fast video segmentation for boundary accuracy control

  • US 9,652,829 B2
  • Filed: 09/22/2015
  • Issued: 05/16/2017
  • Est. Priority Date: 01/22/2015
  • Status: Active Grant
First Claim
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1. A method comprising:

  • generating, by a processor, a label map by labeling pixels in an image frame based on a closest color cluster center to the pixels;

    determining a percentage of a first type of texture pixels and a percentage of a second type of texture pixels based on the label map to generate a texture map of the image frame;

    updating the texture map by updating texture probability as a local average with an updating factor for a particular difference between the percentage of the first type of texture pixels and the percentage of the second type of texture pixels;

    generating a directional edge map based on a data correlation analysis by removing a correlation response in texture regions based on the texture map and the label map;

    generating a gain map with boundaries and smoothing using localized pixels based on information from one or more of the label map, the texture map, and the directional edge map; and

    generating an enhancement controlled upscaled image frame based on using one or more of the label map, the texture map, the directional edge map and the gain map as a weight factor.

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