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Motion estimation aided noise reduction

  • US 9,131,073 B1
  • Filed: 03/02/2012
  • Issued: 09/08/2015
  • Est. Priority Date: 03/02/2012
  • Status: Active Grant
First Claim
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1. A method for encoding a flame in a video stream, the frame having a plurality of blocks, the method comprising:

  • Identifying a noise reduction frame;

    identifying a first motion vector for encoding a current block of the plurality of blocks;

    wherein the first motion vector indicates a reference block in a reference frame, and wherein the noise reduction frame differs from the reference frame;

    identifying a noise reduction block from the noise reduction frame using the first motion vector, such that the noise reduction block is collocated with the reference block;

    generating a denoised block using the current block and the noise reduction block;

    identifying a second motion vector for encoding the denoised block based on the first motion vector;

    generating a residual block using the denoised block and the second motion vector; and

    generating an encoded block based on the residual block and the second motion vector; and

    Wherein the current block includes a plurality of current pixels;

    the noise reduction block includes a plurality of noise reduction pixels; and

    generating the denoised block includes;

    identifying a filter coefficient based on a current pixel from the plurality of current pixels and a noise reduction pixel from the plurality of noise reduction pixels;

    producing a denoised pixel based on the filter coefficient, the current pixel, and the noise reduction pixel;

    on a condition that a difference between the current pixel and the denoised pixel is less than a first threshold and a sum of squared errors value is less than a second threshold, including the denoised pixel in the denoised block;

    on a condition that the difference between the current pixel and the denoised pixel is greater than the first threshold, including the current pixel in the denoised block; and

    on a condition that the difference between the current pixel and the denoised pixel is equal to the first threshold, including the current pixel in the denoised block; and

    wherein generating the denoised block includes weighting the filter coefficient based on a weighting metric, wherein;

    on a condition that a magnitude of the first motion vector is greater than a third threshold and a difference between a sum of squared errors of the first motion vector and a sum of squared errors of a zero magnitude motion vector is greater than a fourth threshold, the weighting metric is zero; and

    on a condition that a magnitude of the first motion vector is less than the third threshold and a difference between a sum of squared errors of the first motion vector and a sum of squared errors of a zero magnitude motion vector is less than the fourth threshold, the weighting metric is the magnitude of the first motion vector.

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