公开(公告)号：US20140307950A1

公开(公告)日：2014-10-16

申请号：US13862415

申请日：2013-04-13

Applicant: MICROSOFT CORPORATION

Inventor： Jeremy Jancsary ,  Uwe Johann Schmidt ,  Reinhard Sebastian Bernhard Nowozin ,  Carsten Curt Eckard Rother

IPC: G06T5/00 ,  G06K9/62

CPC classification number: G06T5/003 ,  G06K9/6219 ,  G06K9/6296 ,  G06T2207/20076 ,  G06T2207/20081

Abstract: Image deblurring is described, for example, to remove blur from digital photographs captured at a handheld camera phone and which are blurred due to camera shake. In various embodiments an estimate of blur in an image is available from a blur estimator and a trained machine learning system is available to compute parameter values of a blur function from the blurred image. In various examples the blur function is obtained from a probability distribution relating a sharp image, a blurred image and a fixed blur estimate. For example, the machine learning system is a regression tree field trained using pairs of empirical sharp images and blurred images calculated from the empirical images using artificially generated blur kernels.

Abstract translation: 描述了图像去模糊，例如，从在手持相机手机拍摄的数字照片中消除模糊，并且由于相机抖动而被模糊。 在各种实施例中，图像中的模糊估计可以从模糊估计器获得，并且经过训练的机器学习系统可用于从模糊图像计算模糊函数的参数值。 在各种示例中，从与清晰图像，模糊图像和固定模糊估计相关联的概率分布获得模糊功能。 例如，机器学习系统是使用经验锐利图像对和使用人为生成的模糊内核从经验图像计算的模糊图像训练的回归树字段。