首页> 外国专利> Learned Piece-Wise Patch Regression for Image Enhancement

Learned Piece-Wise Patch Regression for Image Enhancement

机译:学习的逐块补丁回归算法,用于图像增强

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.
机译:提供了用于提供学习的分段补丁回归以进行图像增强的系统和方法。在一个实施例中,图像操纵应用生成训练补丁对,其包括训练输入补丁和训练输出补丁。每个训练补丁对包括来自训练输入图像的相应训练输入补丁和来自训练输出图像的相应训练输出补丁。训练输入图像和训练输出图像包括至少一些相同图像内容。图像操纵应用程序从至少一些训练补丁对中确定补丁对功能。每个补丁对功能对应于对相应训练输入补丁的修改,以生成相应的训练输出补丁。图像操纵应用程序接收输入图像,该输入图像通过基于输入图像的至少一些输入色块应用至少一些色块对函数来从输入图像生成输出图像。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号