Abstract: Disclosed is a method of performing upscaling that includes the steps of: parsing an input video; breaking the input video into individual frames; performing upscaling on the individual frames to produce upscaled frames; and stitching the upscaled frames together to produce an upscaled video.

Abstract: Systems and methods are disclosed for performing local adaptive weighting upsampling. An image may be converted into a color space representation. The color space representation of the image may then be divided into the individual color spaces. Upsampling may then be performed on the individual color planes. The upsampling may include resizing the color planes by adding pixels to the color planes. Local processing of the different color spaces may be performed to estimate values for the added pixels. Upon generating the estimated values, the estimated values may be refined by determining which known pixel values from the original image have the highest degree of influence on a newly added pixel.

Abstract: Systems and methods are disclosed for performing local adaptive weighting upsampling. An image may be converted into a color space representation. The color space representation of the image may then be divided into the individual color spaces. Upsampling may then be performed on the individual color planes. The upsampling may include resizing the color planes by adding pixels to the color planes. Local processing of the different color spaces may be performed to estimate values for the added pixels. Upon generating the estimated values, the estimated values may be refined by determining which known pixel values from the original image have the highest degree of influence on a newly added pixel.

Abstract: Examples of the present disclosure relate to performing subject oriented compression. A content file, such as a video file, may be received. One or more subjects of interest may be identified in the content file. The identified subjects of interest may be associated with a quantization value that is less than a quantization value associated with the rest of the content. When the content is compressed/encoded, the subjects of interest are compressed/encoded using their associated quantization value while the rest of the content is compressed/encoded using a larger quantization value.