公开(公告)号：US20130243351A1

公开(公告)日：2013-09-19

申请号：US13677016

申请日：2012-11-14

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Dong Feng ,  Jen-Chan Chien ,  Hailin Jin

IPC: G06T3/40

CPC classification number: G06T3/4038 ,  G06T3/0062 ,  G06T5/006 ,  G06T2200/21 ,  G06T2200/32

Abstract: Methods and apparatus for describing a projection model, used by a panoramic image stitching module to generate panoramic images and for communicating the projection model to other processes. A post-processing module may access and use the projection model provided by the panoramic image stitching module to perform one or more post-processing methods on the panoramic image, rather than requiring the user to input the projection model via a user interface or requiring the post-processing module to estimate the projection model according to a mathematical analysis of the panoramic image.

Abstract translation: 用于描述投影模型的方法和装置，由全景图像拼接模块用于生成全景图像并将投影模型传达给其他过程。 后处理模块可以访问和使用由全景图像拼接模块提供的投影模型来对全景图像执行一个或多个后处理方法，而不是要求用户经由用户界面输入投影模型或要求 后处理模块根据全景图像的数学分析来估计投影模型。

公开(公告)号：US09466096B2

公开(公告)日：2016-10-11

申请号：US14937395

申请日：2015-11-10

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Jue Wang ,  Sunghyun Cho ,  Jen-Chan Chien ,  Dong Feng

IPC: G06K9/40 ,  G06T5/00 ,  G06T5/20 ,  G06T7/00

CPC classification number: G06T5/003 ,  G06T5/20 ,  G06T7/11 ,  G06T2207/10004 ,  G06T2207/20012

Abstract: A computer-implemented method and system are described for deblurring an image. The method may include accessing an image having a first blurred region and a second blurred region, and generating a first blur kernel for the first blurred region and a second blur kernel for the second blurred region. Thereafter, the first blur kernel is positioned with respect to the first blurred region, and the second blur kernel is positioned with respect to the second blurred region based on the position of the first blur kernel. The image is then deblurred by deconvolving the first blurred region with the first blur kernel, and deconvolving the second blurred region with the second blur kernel.

公开(公告)号：US20160267629A1

公开(公告)日：2016-09-15

申请号：US15161073

申请日：2016-05-20

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Sunghyun Cho ,  Jue Wang ,  Jen-Chan Chien ,  Dong Feng

IPC: G06T5/00 ,  G06T11/00 ,  G06T5/20

CPC classification number: G06T5/003 ,  G06T5/20 ,  G06T11/001 ,  G06T2207/10024 ,  G06T2207/20192 ,  G06T2207/20201 ,  G06T2207/20221

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed towards automatic selection of regions for blur kernel estimation. In one embodiment, a process divides a blurred image into a regions. From these regions a first region and a second region can be selected based on a number of edge orientations within the selected regions. A first blur kernel can then be estimated based on the first region and a second blur kernel can be estimated for the second region. The first and second blur kernel can then be utilized to respectively deblur a first and second portion of the image to produce a deblurred image. Other embodiments may be described and/or claimed.

Abstract translation: 本发明的实施例提供了针对模糊核估计的区域的自动选择的系统，方法和计算机存储介质。 在一个实施例中，过程将模糊图像划分为区域。 可以从这些区域中，基于所选择的区域内的多个边缘取向来选择第一区域和第二区域。 然后可以基于第一区域估计第一模糊核，并且可以为第二区域估计第二模糊核。 然后可以利用第一和第二模糊核来分别去除图像的第一和第二部分以产生去模糊图像。 可以描述和/或要求保护其他实施例。

公开(公告)号：US20150110415A1

公开(公告)日：2015-04-23

申请号：US14061068

申请日：2013-10-23

Applicant: Adobe Systems Incorporated

Inventor： Jue Wang ,  Sunghyun Cho ,  Jen-Chan Chien ,  Dong Feng

IPC: G06T5/00

CPC classification number: G06T5/003 ,  G06T5/20 ,  G06T7/11 ,  G06T2207/10004 ,  G06T2207/20012

Abstract: A computer-implemented method and system are described for deblurring an image. The method may include accessing an image having a first blurred region and a second blurred region, and generating a first blur kernel for the first blurred region and a second blur kernel for the second blurred region. Thereafter, the first blur kernel is positioned with respect to the first blurred region, and the second blur kernel is positioned with respect to the second blurred region based on the position of the first blur kernel. The image is then deblurred by deconvolving the first blurred region with the first blur kernel, and deconvolving the second blurred region with the second blur kernel.

Abstract translation: 描述了用于去图像的计算机实现的方法和系统。 该方法可以包括访问具有第一模糊区域和第二模糊区域的图像，以及为第一模糊区域生成第一模糊核心以及为第二模糊区域生成第二模糊核心。 此后，第一模糊核相对于第一模糊区域定位，并且第二模糊核基于第一模糊核的位置相对于第二模糊区域定位。 然后通过用第一模糊核心对第一模糊区域进行去卷积去除图像，并用第二模糊核心解卷积第二模糊区域。

公开(公告)号：US20150110404A1

公开(公告)日：2015-04-23

申请号：US14061131

申请日：2013-10-23

Applicant: Adobe Systems Incorporated

Inventor： Sunghyun Cho ,  Jue Wang ,  Jen-Chan Chien ,  Dong Feng

IPC: G06T5/00

CPC classification number: G06T5/003 ,  G06T5/20 ,  G06T11/001 ,  G06T2207/10024 ,  G06T2207/20192 ,  G06T2207/20201 ,  G06T2207/20221

Abstract: A computer-implemented method and apparatus are described for automatically selecting a region in a blurred image for blur kernel estimation. The method may include accessing a blurred image and defining a size for each of a plurality of regions in the image. Thereafter, metrics for at least two of the plurality of regions are determined, wherein the metrics are based on a number of edge orientations within each region. A region is selected from the plurality of regions based on the determined metrics, and a blur kernel for deblurring the blurred image is then estimated for the selected region. The blurred image is then deblurred using the blur kernel.

Abstract translation: 描述了用于自动选择模糊图像中的区域以进​​行模糊核估计的计算机实现的方法和装置。 该方法可以包括访问模糊图像并且为图像中的多个区域中的每一个定义大小。 此后，确定多个区域中的至少两个的度量，其中度量基于每个区域内的边缘取向的数量。 基于所确定的度量，从多个区域中选择区域，然后针对所选择的区域估计用于去模糊模糊图像的模糊核心。 然后使用模糊内核去除模糊的图像。