公开(公告)号：US09595087B2

公开(公告)日：2017-03-14

申请号：US14464478

申请日：2014-08-20

Applicant: FLIR Systems AB

Inventor： Stefan Olsson

IPC: G06T5/20 ,  G06T5/00 ,  H04N5/208 ,  H04N5/21

CPC classification number: G06T5/002 ,  G06T5/003 ,  G06T5/004 ,  G06T5/005 ,  G06T5/20 ,  G06T2207/10048 ,  G06T2207/20012 ,  G06T2207/20024 ,  G06T2207/20192 ,  H04N5/208 ,  H04N5/21

Abstract: One or more embodiments of the invention relate to an image processing system and method for detail enhancement and noise reduction, in which the method includes: (a) an original image is created, (b) an information measure is calculated on the basis of the original image, (c) a weighting measure is calculated on the basis of the information measure, (d) the original image is low-pass filtered with a low-pass filter to form a low-pass filtered image, (e) a high-pass filtered image is calculated by subtracting the low-pass filtered image from the original image, (f) a detail-enhanced and noise-reduced image is obtained by a high-pass image scaled with the weighting measure being added to the low-pass image. One or more embodiments of the invention additionally relate to an image processing device comprising an image recording device, an image processing unit and an image display unit.

Abstract translation: 本发明的一个或多个实施例涉及用于细节增强和降噪的图像处理系统和方法，其中该方法包括：（a）创建原始图像，（b）基于 原始图像，（c）基于信息测量计算加权度量，（d）原始图像被低通滤波器低通滤波以形成低通滤波图像，（e）高 通过从原始图像中减去低通滤波图像来计算通过滤波图像，（f）通过加权测量被加到低通滤波图像上的高通图像获得细节增强和降噪图像， 传递图像。 本发明的一个或多个实施例还涉及包括图像记录装置，图像处理单元和图像显示单元的图像处理装置。

公开(公告)号：US09569866B2

公开(公告)日：2017-02-14

申请号：US14643630

申请日：2015-03-10

Applicant: Adobe Systems Incorporated

Inventor： Xue Bai ,  Jue Wang ,  Yao Lu

IPC: G06T11/20 ,  G06T7/00 ,  G06T15/10 ,  G06T15/00 ,  G06T7/60 ,  G06T11/00

CPC classification number: G06T11/203 ,  G06T7/12 ,  G06T7/149 ,  G06T7/246 ,  G06T7/60 ,  G06T11/001 ,  G06T15/005 ,  G06T15/10 ,  G06T2200/04 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20096 ,  G06T2207/20192 ,  G06T2210/12

Abstract: Techniques involving flexible video object boundary tracking are described. One or more curves, such as Bezier curves, are received as drawn by a user on an initial frame of video to define a boundary of an object in the frame. The curves are then mapped to a subsequent or previous frame of the video where the object is included but has a new or changed boundary. A segmentation boundary is determined for the object in the subsequent frame and endpoints of segments of the curves are snapped to the segmentation boundary. Additionally, confidence values are determined for subregions of the frame that include portions of the curves. These confidence values are used to update control points on the curve segments to fit the curve segments to the new or changed boundary of the object in the frame.

Abstract translation: 描述了涉及灵活视频对象边界跟踪的技术。 一个或多个曲线，例如Bezier曲线，由用户在视频的初始帧上绘制，以定义帧中的对象的边界。 然后将曲线映射到包含对象的视频的后续或前一帧，但具有新的或改变的边界。 为后续帧中的对象确定分割边界，并且将曲线的段的端点捕捉到分割边界。 另外，对包括曲线部分的帧的子区域确定置信度值。 这些置信度值用于更新曲线段上的控制点，以将曲线段拟合到框架中对象的新边界或更改的边界。

公开(公告)号：US09569684B2

公开(公告)日：2017-02-14

申请号：US14020969

申请日：2013-09-09

Applicant: Adobe Systems Incorporated

Inventor： Jianchao Yang ,  Zhe Lin

IPC: G06T3/40 ,  G06K9/46 ,  G06T5/00 ,  G06K9/62

CPC classification number: G06T5/50 ,  G06K9/46 ,  G06K9/4609 ,  G06K9/4647 ,  G06K9/6259 ,  G06T3/4053 ,  G06T3/4076 ,  G06T5/002 ,  G06T5/003 ,  G06T2207/10024 ,  G06T2207/20192 ,  G06T2207/20216

Abstract: Systems and methods are provided for image enhancement using self-examples in combination with external examples. In one embodiment, an image manipulation application receives an input image patch of an input image. The image manipulation application determines a first weight for an enhancement operation using self-examples and a second weight for an enhancement operation using external examples. The image manipulation application generates a first interim output image patch by applying the enhancement operation using self-examples to the input image patch and a second interim output image patch by applying the enhancement operation using external examples to the input image patch. The image manipulation application generates an output image patch by combining the first and second interim output image patches as modified using the first and second weights.

Abstract translation: 提供了使用自身实例与外部示例组合的图像增强的系统和方法。 在一个实施例中，图像处理应用接收输入图像的输入图像块。 图像处理应用使用自身示例确定用于增强操作的第一权重，并且使用外部示例来确定用于增强操作的第二权重。 图像处理应用程序通过使用自身示例将增强操作应用于输入图像贴片和第二中期输出图像贴图，通过使用外部示例将输入图像贴图应用增强操作来生成第一临时输出图像贴片。 图像处理应用程序通过组合使用第一和第二权重修改的第一和第二临时输出图像块来生成输出图像块。

公开(公告)号：US20170034437A1

公开(公告)日：2017-02-02

申请号：US15295085

申请日：2016-10-17

Applicant: OLYMPUS CORPORATION

Inventor： Yuji KUTSUMA ,  Tatsuhiko SUZUKI ,  Tomoki IWASAKI ,  Susumu HASHIMOTO ,  Toshihiro HAMADA

IPC: H04N5/232 ,  G06T5/00 ,  G06T7/00 ,  A61B1/04 ,  A61B1/00

CPC classification number: H04N5/23238 ,  A61B1/00009 ,  A61B1/00059 ,  A61B1/00177 ,  A61B1/04 ,  G06T1/00 ,  G06T5/00 ,  G06T5/003 ,  G06T7/12 ,  G06T7/97 ,  G06T2207/10068 ,  G06T2207/20192 ,  H04N2005/2255

Abstract: An image processing apparatus includes a first input section configured to receive image data including images in a forward field of view and a lateral field of view; an enhancement processing section configured to enhance edges of images corresponding to the image data received; and a boundary correction section provided on a downstream side of the enhancement processing section and configured to perform a correction process non-commutative with an edge enhancement process, the correction process being performed on a boundary region between a forward field of view and a lateral field of view using the image data subjected to edge enhancement.

Abstract translation: 图像处理装置包括：第一输入部，被配置为接收包括正视场和侧视场中的图像的图像数据; 增强处理部，被配置为增强与所接收的图像数据相对应的图像的边缘; 以及边界校正部，其设置在所述增强处理部的下游侧，并且被配置为执行与边缘增强处理不交换的校正处理，所述校正处理在正视场和横向场之间的边界区域上执行 使用经过边缘增强的图像数据。

公开(公告)号：US09560276B2

公开(公告)日：2017-01-31

申请号：US13891196

申请日：2013-05-10

Applicant: MEDIATEK INC.

Inventor： Chi-Cheng Ju ,  Ding-Yun Chen ,  Cheng-Tsai Ho

IPC: H04N5/77 ,  H04N5/232 ,  G06T3/40 ,  G06T5/00 ,  H04N9/79 ,  G06T7/00

CPC classification number: H04N5/23293 ,  G06T3/40 ,  G06T3/4007 ,  G06T3/4023 ,  G06T3/4053 ,  G06T5/003 ,  G06T7/0002 ,  G06T2207/10016 ,  G06T2207/20192 ,  G06T2207/30168 ,  G06T2207/30201 ,  H04N5/23222 ,  H04N5/23248 ,  H04N5/23254 ,  H04N5/772 ,  H04N9/79

Abstract: An exemplary video recording method of recording an output video sequence for an image capture module includes at least the following steps: deriving a first video sequence from an input video sequence generated by the image capture module, wherein the first video sequence is composed of a plurality of video frames; calculating an image quality metric value for each of the video frames of the first video sequence; referring to the image quality metric value to select or drop each of the video frames of the first video sequence, and accordingly obtaining a second video sequence composed of selected video frames; and generating the recorded output video sequence according to the second video sequence.

Abstract translation: 记录用于图像捕获模块的输出视频序列的示例性视频记录方法至少包括以下步骤：从由图像捕获模块生成的输入视频序列中导出第一视频序列，其中第一视频序列由多个 的视频帧; 计算第一视频序列的每个视频帧的图像质量度量值; 参考图像质量度量值来选择或删除第一视频序列的每个视频帧，并且因此获得由所选择的视频帧组成的第二视频序列; 以及根据第二视频序列生成所记录的输出视频序列。

公开(公告)号：US09558588B2

公开(公告)日：2017-01-31

申请号：US14411415

申请日：2012-06-26

Applicant: Dmitry Anatolievich Koroteev ,  Alexander Nikolaevich Nadeev ,  Ivan Viktorovich Yakimchuk ,  Igor Andreevich Varfolomeev

Inventor： Dmitry Anatolievich Koroteev ,  Alexander Nikolaevich Nadeev ,  Ivan Viktorovich Yakimchuk ,  Igor Andreevich Varfolomeev

IPC: G06K9/00 ,  G06T17/05 ,  G01N33/24 ,  G01N23/04 ,  G06T5/20 ,  G06T7/00 ,  G06T5/00 ,  G06T5/40

CPC classification number: G06T17/05 ,  G01N23/046 ,  G01N33/24 ,  G01N2223/419 ,  G01N2223/616 ,  G01N2223/649 ,  G06T5/002 ,  G06T5/20 ,  G06T5/40 ,  G06T7/00 ,  G06T7/11 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20032 ,  G06T2207/20192 ,  G06T2207/30184

Abstract: A method for building a 3D model of a rock sample comprises performing X-ray micro/nanoCT scanning of a rock sample and obtaining its initial three-dimensional microstructure image in a gray scale. Then, an analysis of the obtained three-dimensional image of the rock sample is performed and a binarization method is selected in dependence of the image quality and properties of the rock sample. The selected binarization method is at least once applied to the obtained initial three-dimensional image of the sample. Obtained 3D binarized image represents a 3D model of the rock sample.

Abstract translation: 用于构建岩石样品的3D模型的方法包括对岩石样品进行X射线微/纳米扫描扫描，并以灰度级获得其初始的三维微结构图像。 然后，对获得的岩石样品的三维图像进行分析，并根据岩石样品的图像质量和性质选择二值化方法。 所选择的二值化方法至少一次应用于所获取的样本的初始三维图像。 获得的3D二值化图像表示岩石样本的3D模型。

公开(公告)号：US20170003490A1

公开(公告)日：2017-01-05

申请号：US15125848

申请日：2015-07-10

Applicant: SCREEN HOLDINGS CO., LTD.

Inventor： Hiroshi SUEKI ,  Masayoshi KOBAYASHI ,  Hiroki FUJIMOTO

IPC: G02B21/36 ,  G02B7/36 ,  G02B21/24 ,  G06T5/50 ,  G06T7/60

CPC classification number: G02B21/367 ,  G02B7/36 ,  G02B21/241 ,  G06T5/50 ,  G06T7/60 ,  G06T2207/10056 ,  G06T2207/10148 ,  G06T2207/20192 ,  G06T2207/20224 ,  G06T2207/30024 ,  G06T2207/30242

Abstract: An image processing apparatus includes a holder holding a carrier carrying cells, an imager including an imaging optical system in which an optical axis is oriented toward the carrier, and images the cells in a bright field, a position changer changing a focus position of the imaging optical system in a direction along the optical axis, a controller changing a set position of the focus position by the position changer and obtaining a plurality of original images by causing the imager to perform imaging at each set position, and an image processor calculating a contrast value of each original image, specifying two set positions at opposite sides of a local minimum value of the contrast value in a profile of the contrast value in relation to the set position and generating a difference image of two of the original images respectively imaged at the two set positions.

Abstract translation: 一种图像处理装置，包括保持承载单元的载体，成像器，其包括成像光学系统，其中光轴朝向载体取向，并且在明场中对单元进行成像，位置改变器改变成像的聚焦位置 光学系统沿着光轴的方向，控制器通过位置变换器改变聚焦位置的设定位置，并通过使成像器在每个设置位置进行成像并获得多个原始图像，并且图像处理器计算对比度 每个原始图像的值，指定相对于设置位置的对比度值的轮廓中的对比度值的局部最小值的相对侧的两个设置位置，并且生成分别在该位置处成像的两个原始图像的差分图像 两个职位。

公开(公告)号：US20160364846A1

公开(公告)日：2016-12-15

申请号：US15160932

申请日：2016-05-20

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： SYLVAIN PARIS ,  SOHRAB AMIRGHODSI ,  ALIAKBAR DARABI ,  ELYA SHECHTMAN

IPC: G06T5/00 ,  G06T3/40 ,  G06T7/40 ,  G06T11/60

CPC classification number: G06T5/002 ,  G06T3/4038 ,  G06T5/005 ,  G06T11/60 ,  G06T2207/10024 ,  G06T2207/20192 ,  G06T2207/20221

Abstract: Embodiments described herein are directed to methods and systems for facilitating control of smoothness of transitions between images. In embodiments, a difference of color values of pixels between a foreground image and the background image are identified along a boundary associated with a location at which to paste the foreground image relative to the background image. Thereafter, recursive down sampling of a region of pixels within the boundary by a sampling factor is performed to produce a plurality of down sampled images having color difference indicators associated with each pixel of the down sampled images. Such color difference indicators indicate whether a difference of color value exists for the corresponding pixel. To effectuate a seamless transition, the color difference indicators are normalized in association with each recursively down sampled image.

Abstract translation: 本文描述的实施例涉及用于有助于控制图像之间的转换的平滑度的方法和系统。 在实施例中，沿着与相对于背景图像粘贴前景图像的位置相关联的边界来识别前景图像和背景图像之间的像素的颜色值的差异。 此后，执行边界内像素区域采样因子的递减采样，以产生具有与下采样图像的每个像素相关联的色差指示符的多个下采样图像。 这些色差指示符表示对应的像素是否存在颜色值的差异。 为了实现无缝转换，色差指标与每个递归下采样图像相关联地归一化。

公开(公告)号：US09514519B2

公开(公告)日：2016-12-06

申请号：US14697400

申请日：2015-04-27

Applicant: SHARP KABUSHIKI KAISHA

Inventor： Tomohiro Ikai ,  Yukinobu Yasugi ,  Tomoko Aono

IPC: G06K9/40 ,  G06T5/00 ,  H04N19/61 ,  H04N19/117 ,  H04N19/82 ,  H04N19/86 ,  H04N19/44 ,  H04N19/80 ,  G06T5/20

CPC classification number: H04N19/61 ,  G06T5/00 ,  G06T5/002 ,  G06T5/003 ,  G06T5/20 ,  G06T2207/20012 ,  G06T2207/20192 ,  H04N19/117 ,  H04N19/44 ,  H04N19/80 ,  H04N19/82 ,  H04N19/86

Abstract: An image filter (100) for calculating a pixel value of target pixel in an output image from a pixel value of each of a pixel or pixels belonging to a filter area in an input image by using a filter coefficient vector V, is configured to include a filter coefficient vector changing section (120) for changing the filter coefficient vector V according to at least either where the target area is in the input image, or where the target pixel is in the output image.

Abstract translation: 用于通过使用滤波器系数向量V从输入图像中的属于滤波器区域的像素或像素的像素的像素值计算输出图像中的目标像素的像素值的图像滤波器（100）被配置为包括 用于根据目标区域在输入图像中的至少一个或者目标像素在输出图像中的至少一个来改变滤波器系数矢量V的滤波器系数向量变化部分（120）。

公开(公告)号：US09514383B2

公开(公告)日：2016-12-06

申请号：US14764267

申请日：2014-02-13

Applicant: NEC Corporation

Inventor： Kenta Senzaki

IPC: G06K9/48 ,  G06K9/52 ,  H04N1/409 ,  G06T5/00 ,  G06K9/46

CPC classification number: G06K9/52 ,  G06K9/4609 ,  G06T5/00 ,  G06T5/002 ,  G06T5/20 ,  G06T2207/20012 ,  G06T2207/20192 ,  H04N1/4092

Abstract: An image processing method separates an input image into a skeleton component, and residual component. In the method a local variation amount, which is a variation amount between a target pixel and a pixel adjacent to the target pixel, is calculated; a skeleton component extraction filter weight is calculated based on the local variation amount; an image feature amount of a gradient direction of a pixel value around the target pixel, and an image feature amount of a gradient strength of the pixel value around the target pixel, are calculated; the skeleton component extraction filter weight is corrected based on these image feature amount; a skeleton component extraction filter coefficient is calculated based on the corrected skeleton component extraction filter weight; and the skeleton component is extracted by applying skeleton component extraction filtering to the target pixel using the calculated skeleton component extraction filter coefficient.

Abstract translation: 图像处理方法将输入图像分割为骨架分量，并将剩余分量分离。 在该方法中，计算作为目标像素与与目标像素相邻的像素之间的变化量的局部变化量; 基于局部变化量计算骨架成分提取过滤器重量; 计算目标像素周围的像素值的倾斜方向的图像特征量以及目标像素周围的像素值的梯度强度的图像特征量; 基于这些图像特征量来校正骨架分量提取滤波器权重; 基于校正的骨架成分提取滤光器重量计算骨架成分提取过滤器系数; 并使用所计算出的骨架成分提取滤波器系数，通过对目标像素应用骨架成分提取滤波来提取骨架成分。