Sample-based video denoising

A method for use by a video processing system including a computing platform having a hardware processor and a system memory storing a sample-based video denoising software code, the method comprising:

• receiving, using the hardware processor, a video sequence;
• selecting, using the hardware processor, a reference frame of the video sequence to denoise;
• for each pixel of the reference frame:
• mapping, using the hardware processor, the pixel to a sample pixel in each of a plurality of other frames of the video sequence, the plurality of other frames including earlier and later frames of the reference frame of the video sequence;
• identifying, using the hardware processor, a first confidence value corresponding to each of the sample pixels, based on the mapping;
• identifying, using the hardware processor, a second confidence value corresponding to each of the sample pixels, based on a frame of the plurality of other frames that includes the sample pixel;
• and
• denoising, using the hardware processor, the pixel based on a weighted combination of the sample pixels determined using the first confidence values and the second confidence values.

A computer-readable non-transitory medium having stored thereon instructions, which when executed by a hardware processor, instantiate a method comprising:

• receiving a video sequence;
• selecting a reference frame of the video sequence to denoise;
• for each pixel of the reference frame:
• mapping the pixel to a sample pixel in each of a plurality of other frames of the video sequence, the plurality of other frames including earlier and later frames of the reference frame of the video sequence;
• identifying a first confidence value corresponding to each of the sample pixels, based on the mapping;
• identifying a second confidence value corresponding to each of the sample pixels, based on a frame of the plurality of other frames that includes the sample pixel;
• and
• denoising the pixel based on a weighted combination of the sample pixels determined using the first confidence values and the second confidence values.