公开(公告)号：US09076205B2

公开(公告)日：2015-07-07

申请号：US13680952

申请日：2012-11-19

Applicant: Adobe Systems Incorporated

Inventor： Sunghyun Cho ,  Jue Wang ,  Lin Zhong

IPC: G06K9/48 ,  G06T5/00 ,  G06T7/00

CPC classification number: G06T5/003 ,  G06T7/13

Abstract: An image de-blurring system obtains a blurred input image and generates, based on the blurred input image, a blur kernel. The blur kernel is an indication of how the image capture device was moved and/or how the subject captured in the image moved during image capture. Based on the blur kernel and the blurred input image, a de-blurred image is generated. The blur kernel is generated based on the direction of edges identified in the blurred input image and/or based on curves having a high curvature identified in the image (e.g., corners identified in the image).

Abstract translation: 图像去模糊系统获得模糊的输入图像，并且基于模糊的输入图像生成模糊核。 模糊内核是图像捕获设备如何被移动的指示和/或在图像捕获期间如何在图像中捕获的图像移动。 基于模糊内核和模糊输入图像，生成去模糊图像。 基于在模糊输入图像中识别的边缘的方向和/或基于在图像中识别的具有高曲率的曲线（例如，图像中标识的角），生成模糊核。

公开(公告)号：US20140140626A1

公开(公告)日：2014-05-22

申请号：US13680952

申请日：2012-11-19

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Sunghyun Cho ,  Jue Wang ,  Lin Zhong

IPC: G06T5/00

CPC classification number: G06T5/003 ,  G06T7/13

Abstract: An image de-blurring system obtains a blurred input image and generates, based on the blurred input image, a blur kernel. The blur kernel is an indication of how the image capture device was moved and/or how the subject captured in the image moved during image capture. Based on the blur kernel and the blurred input image, a de-blurred image is generated. The blur kernel is generated based on the direction of edges identified in the blurred input image and/or based on curves having a high curvature identified in the image (e.g., corners identified in the image).

Abstract translation: 图像去模糊系统获得模糊的输入图像，并且基于模糊的输入图像生成模糊核。 模糊内核是图像捕获设备如何被移动的指示和/或在图像捕获期间如何在图像中捕获的图像移动。 基于模糊内核和模糊输入图像，生成去模糊图像。 基于在模糊输入图像中识别的边缘的方向和/或基于在图像中识别的具有高曲率的曲线（例如，图像中标识的角），生成模糊核。

公开(公告)号：US08867856B2

公开(公告)日：2014-10-21

申请号：US13674263

申请日：2012-11-12

Applicant: Adobe Systems Incorporated

Inventor： Jue Wang ,  Sunghyun Cho ,  Lin Zhong

IPC: G06K9/40 ,  G06T5/00

CPC classification number: G06T5/002 ,  G06T5/003 ,  G06T5/20

Abstract: Systems and methods are provided for providing improved de-noising image content by using directional noise filters to accurately estimate a blur kernel from a noisy blurry image. In one embodiment, an image manipulation application applies multiple directional noise filters to an input image to generate multiple filtered images. Each of the directional noise filters has a different orientation with respect to the input image. The image manipulation application determines multiple two-dimensional blur kernels from the respective filtered images. The image manipulation application generates a two-two-dimensional blur kernel for the input image from the two-dimensional blur kernels for the filtered images. The image manipulation application generates a de-blurred version of the input image by executing a de-blurring algorithm based on the two-dimensional blur kernel for the input image.

Abstract translation: 提供了系统和方法，用于通过使用定向噪声滤波器从嘈杂的模糊图像中精确地估计模糊核来提供改进的去噪图像内容。 在一个实施例中，图像处理应用将多个定向噪声滤波器应用于输入图像以生成多个滤波图像。 每个方向噪声滤波器相对于输入图像具有不同的取向。 图像处理应用从相应的滤波图像确定多个二维模糊内核。 图像处理应用程序为来自二维模糊内核的输入图像生成用于滤波图像的二维模糊核心。 图像处理应用程序通过执行基于用于输入图像的二维模糊核心的去模糊算法来生成输入图像的去模糊版本。

公开(公告)号：US20140133775A1

公开(公告)日：2014-05-15

申请号：US13674263

申请日：2012-11-12

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Jue Wang ,  Sunghyun Cho ,  Lin Zhong

IPC: G06T5/00

CPC classification number: G06T5/002 ,  G06T5/003 ,  G06T5/20

Abstract: Systems and methods are provided for providing improved de-noising image content by using directional noise filters to accurately estimate a blur kernel from a noisy blurry image. In one embodiment, an image manipulation application applies multiple directional noise filters to an input image to generate multiple filtered images. Each of the directional noise filters has a different orientation with respect to the input image. The image manipulation application determines multiple two-dimensional blur kernels from the respective filtered images. The image manipulation application generates a two-two-dimensional blur kernel for the input image from the two-dimensional blur kernels for the filtered images. The image manipulation application generates a de-blurred version of the input image by executing a de-blurring algorithm based on the two-dimensional blur kernel for the input image.

Abstract translation: 提供了系统和方法，用于通过使用定向噪声滤波器从嘈杂的模糊图像中精确地估计模糊核来提供改进的去噪图像内容。 在一个实施例中，图像处理应用将多个定向噪声滤波器应用于输入图像以生成多个滤波图像。 每个方向噪声滤波器相对于输入图像具有不同的取向。 图像处理应用从相应的滤波图像确定多个二维模糊内核。 图像处理应用程序为来自二维模糊内核的输入图像生成用于滤波图像的二维模糊核心。 图像处理应用程序通过执行基于用于输入图像的二维模糊核心的去模糊算法来生成输入图像的去模糊版本。

公开(公告)号：US09349164B2

公开(公告)日：2016-05-24

申请号：US14488441

申请日：2014-09-17

Applicant: Adobe Systems Incorporated

Inventor： Jue Wang ,  Sunghyun Cho ,  Lin Zhong

IPC: G06K9/40 ,  G06T5/00 ,  G06T5/20

CPC classification number: G06T5/002 ,  G06T5/003 ,  G06T5/20

Abstract: Systems and methods are provided for providing improved de-noising image content by using directional noise filters to accurately estimate a blur kernel from a noisy blurry image. In one embodiment, an image manipulation application applies multiple directional noise filters to an input image to generate multiple filtered images. Each of the directional noise filters has a different orientation with respect to the input image. The image manipulation application determines multiple two-dimensional blur kernels from the respective filtered images. The image manipulation application generates a two- two-dimensional blur kernel for the input image from the two-dimensional blur kernels for the filtered images. The image manipulation application generates a de-blurred version of the input image by executing a de-blurring algorithm based on the two-dimensional blur kernel for the input image.

Abstract translation: 提供了系统和方法，用于通过使用定向噪声滤波器从嘈杂的模糊图像中精确地估计模糊核来提供改进的去噪图像内容。 在一个实施例中，图像处理应用将多个定向噪声滤波器应用于输入图像以生成多个滤波图像。 每个方向噪声滤波器相对于输入图像具有不同的取向。 图像处理应用从相应的滤波图像确定多个二维模糊内核。 图像处理应用为来自二维模糊内核的滤波图像的输入图像生成二维模糊核心。 图像处理应用程序通过执行基于用于输入图像的二维模糊核心的去模糊算法来生成输入图像的去模糊版本。

公开(公告)号：US20150063716A1

公开(公告)日：2015-03-05

申请号：US14488441

申请日：2014-09-17

Applicant: Adobe Systems Incorporated

Inventor： Jue Wang ,  Sunghyun Cho ,  Lin Zhong

IPC: G06T5/00

CPC classification number: G06T5/002 ,  G06T5/003 ,  G06T5/20

Abstract: Systems and methods are provided for providing improved de-noising image content by using directional noise filters to accurately estimate a blur kernel from a noisy blurry image. In one embodiment, an image manipulation application applies multiple directional noise filters to an input image to generate multiple filtered images. Each of the directional noise filters has a different orientation with respect to the input image. The image manipulation application determines multiple two-dimensional blur kernels from the respective filtered images. The image manipulation application generates a two- two-dimensional blur kernel for the input image from the two-dimensional blur kernels for the filtered images. The image manipulation application generates a de-blurred version of the input image by executing a de-blurring algorithm based on the two-dimensional blur kernel for the input image.

Abstract translation: 提供了系统和方法，用于通过使用定向噪声滤波器从嘈杂的模糊图像中精确地估计模糊核来提供改进的去噪图像内容。 在一个实施例中，图像处理应用将多个定向噪声滤波器应用于输入图像以生成多个滤波图像。 每个方向噪声滤波器相对于输入图像具有不同的取向。 图像处理应用从相应的滤波图像确定多个二维模糊内核。 图像处理应用为来自二维模糊内核的滤波图像的输入图像生成二维模糊核心。 图像处理应用程序通过执行基于用于输入图像的二维模糊核心的去模糊算法来生成输入图像的去模糊版本。