Learned Piece-Wise Patch Regression for Image Enhancement

A non-transitory computer-readable medium embodying program code executable by a processing device, the non-transitory computer-readable medium comprising:

• program code for generating a plurality of training patch pairs comprising a plurality of training input patches and a plurality of training output patches, wherein each training patch pair comprises a respective training input patch from a training input image and a respective training output patch from a training output image, wherein the training input image and the training output image include at least some of the same image content;
• program code for determining a plurality of patch-pair functions from at least some of the plurality of training patch pairs, wherein each of the plurality of patch-pair functions corresponds to a modification to a respective training input patch to generate a respective training output patch;
• program code for receiving an input image;
• and
• program code for generating an output image from the input image by applying at least some of the plurality of patch-pair functions based on at least some of a plurality of input patches of the input image.

A system comprising:

• a processor configured to execute instructions stored in a non-transitory computer-readable medium;
• wherein the instructions comprise an image manipulation application configured to perform operations comprising:
• generating a plurality of training patch pairs comprising a plurality of training input patches and a plurality of training output patches, wherein each training patch pair comprises a respective training input patch from a training input image and a respective training output patch from a training output image, wherein the training input image and the training output image include at least some of the same image content;
• determining a plurality of patch-pair functions from at least some of the plurality of training patch pairs, wherein each of the plurality of patch-pair functions corresponds to a modification to a respective training input patch to generate a respective training output patch;
• receiving an input image;
• and
• generating an output image from the input image by applying at least some of the plurality of patch-pair functions based on at least some of a plurality of input patches of the input image.