发明名称 Learned Piece-Wise Patch Regression for Image Enhancement
摘要 Systems and methods are provided for providing learned, piece-wise patch regression for image enhancement. In one embodiment, an image manipulation application generates training patch pairs that include training input patches and training output patches. Each training patch pair includes a respective training input patch from a training input image and a respective training output patch from a training output image. The training input image and the training output image include at least some of the same image content. The image manipulation application determines patch-pair functions from at least some of the training patch pairs. Each patch-pair function corresponds to a modification to a respective training input patch to generate a respective training output patch. The image manipulation application receives an input image generates an output image from the input image by applying at least some of the patch-pair functions based on at least some input patches of the input image.
申请公布号 US2014153819(A1) 申请公布日期 2014.06.05
申请号 US201213691190 申请日期 2012.11.30
申请人 ADOBE SYSTEMS INCORPORATED 发明人 Lin Zhe;Lu Xin;Brandt Jonathan;Jin Hailin
分类号 G06T5/50 主分类号 G06T5/50
代理机构 代理人
主权项 1. A method comprising: generating, by an image manipulation application executed by a processing device, 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, by the image manipulation application, a plurality of patch-pair functions from at least some of the plurality of training patch pairs, wherein each patch-pair function 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, by the image manipulation application, an input image; and generating, by the image manipulation application, 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.
地址 San Jose CA US