IMAGE PROCESSING DEVICE, ENDOSCOPE APPARATUS, INFORMATION STORAGE DEVICE, AND IMAGE PROCESSING METHOD
    91.
    发明申请
    IMAGE PROCESSING DEVICE, ENDOSCOPE APPARATUS, INFORMATION STORAGE DEVICE, AND IMAGE PROCESSING METHOD 审中-公开
    图像处理装置,内窥镜装置,信息存储装置和图像处理方法

    公开(公告)号:US20150320296A1

    公开(公告)日:2015-11-12

    申请号:US14807065

    申请日:2015-07-23

    发明人: Yasunori MORITA

    摘要: An image processing device includes an image acquisition section, a distance information acquisition section, a motion detection section that detects motion information about a local motion of an object, a classification section that performs a classification process that classifies a structure of the object based on a distance information, and an enhancement processing section that. excludes a pixel or an area within the captured image for which it has been determined that the motion amount of the object is larger than a threshold value based on the motion information from the target of the enhancement process based on a classification result, or decreases the enhancement level of the enhancement process applied to the pixel or the area within the captured image as the motion amount of the object within the pixel or the area increases based on the motion information.

    摘要翻译: 一种图像处理装置,包括图像获取部,距离信息获取部,检测关于对象的局部动作的运动信息的运动检测部,进行基于对象的对象的结构分类的分类处理的分类部 距离信息和增强处理部分。 基于来自基于分类结果的来自增强处理的目标的运动信息,排除已经确定了对象的运动量大于阈值的拍摄图像内的像素或区域,或者减少 基于运动信息,随着像素或区域内的物体的运动量增加,应用于捕获图像内的像素或区域的增强处理的增强级别增加。

    Removing Image Distortions based on Movement of an Imaging Device
    92.
    发明申请
    Removing Image Distortions based on Movement of an Imaging Device 有权
    基于成像设备的移动去除图像失真

    公开(公告)号:US20150302556A1

    公开(公告)日:2015-10-22

    申请号:US14652290

    申请日:2012-12-17

    申请人: BRAINLAB AG

    IPC分类号: G06T5/00 G06F19/00 G06T7/00

    摘要: A data processing method of determining a transformation for transforming medical image data into a positional reference system, the method being executed by a computer and comprising the following steps: a) acquiring reference position data comprising reference position information describing a reference position of a medical imaging apparatus in an imaging apparatus reference system; b) acquiring imaging geometry data comprising imaging geometry information describing an imaging geometry of the medical imaging apparatus; c) acquiring actual position data comprising actual position information describing different actual positions of the medical imaging apparatus in an imaging apparatus reference system, wherein the medical imaging apparatus takes the actual positions for acquiring medical image data comprising medical image information describing an image of the anatomical region of the patient's body at each of the actual positions; d) determining, based on the reference position data and the imaging geometry data and the actual position data, medical image transformation data comprising medical image transformation information describing a medical image transformation between the actual position of the medical imaging and the reference position.

    摘要翻译: 一种确定用于将医学图像数据转换成位置参考系统的变换的数据处理方法,所述方法由计算机执行,并且包括以下步骤:a)获取包括描述医学成像的参考位置的参考位置信息的参考位置数据 成像装置参考系统中的装置; b)获取成像几何数据,所述成像几何数据包括描述所述医学成像设备的成像几何形状的成像几何信息; c)获取包括实际位置信息的实际位置数据,所述实际位置信息包括描述成像设备参考系统中的医学成像设备的不同实际位置的实际位置信息,其中所述医学成像设备获取用于获取包括医学图像信息的医学图像数据的实际位置, 每个实际位置的患者身体区域; d)基于参考位置数据和成像几何数据和实际位置数据确定医学图像变换数据,该医学图像变换数据包括描述医学成像的实际位置与参考位置之间的医学图像变换的医学图像变换信息。

    POINT SPREAD FUNCTION CLASSIFICATION USING STRUCTURAL PROPERTIES
    93.
    发明申请
    POINT SPREAD FUNCTION CLASSIFICATION USING STRUCTURAL PROPERTIES 有权
    使用结构特性的点扩展功能分类

    公开(公告)号:US20150294186A1

    公开(公告)日:2015-10-15

    申请号:US14437953

    申请日:2013-03-07

    申请人: NIKON CORPORATION

    IPC分类号: G06K9/62 G06K9/52 G06T7/20

    摘要: A method for classifying a test image (16) includes the steps of building a classifier (300), and classifying the test image (16) with the classifier (300). After the test image (16) is classified, the test image (16) can be subsequently processed (e.g. deblurred) with improved accuracy. The classifier (300) can classify and distinguish between PSF features associated with motion blurred images, and PSF features associate with defocus blurred images. The classifier (300) can be built using a plurality of training images (304), and extracting one or more training features from each the training images (304). The PSF features can include image moments of the point spread function, and/or geometric features of the point spread function.

    摘要翻译: 用于分类测试图像(16)的方法包括以下步骤:建立分类器(300),并且用分类器(300)对测试图像(16)进行分类。 在测试图像(16)被分类之后,测试图像(16)可以随后以改进的精度进行处理(例如去毛刺)。 分类器(300)可以对与运动模糊图像相关联的PSF特征进行分类和区分,并且PSF特征与散焦模糊图像相关联。 分类器(300)可以使用多个训练图像(304)构建,并且从每个训练图像(304)提取一个或多个训练特征。 PSF特征可以包括点扩散函数的图像矩,和/或点扩散函数的几何特征。

    Method of analyzing motion blur using double discrete wavelet transform
    94.
    发明授权
    Method of analyzing motion blur using double discrete wavelet transform 有权
    使用双离散小波变换分析运动模糊的方法

    公开(公告)号:US09143687B2

    公开(公告)日:2015-09-22

    申请号:US13830597

    申请日:2013-03-14

    摘要: A method of processing a motion blurred image from an imaging device to recover a latent sharp image. The method includes capturing a motion blurred image signal through the imaging device, computing a second signal as a two-dimensional wavelet transform of the motion blurred image signal, and using the second signal to perform a first autocorrelation analysis to estimate the blur kernel. After estimating the blur kernel, a local autocorrelation analysis yields a blur kernel length and direction at each pixel location of the motion blurred image. In addition, the second signal is denoised and the discrete wavelet transform coefficients reconstructed from the blur kernel length and direction. Performing an inverse discrete wavelet transform of the discrete wavelet transform coefficients recovers the latent sharp image.

    摘要翻译: 一种从成像装置处理运动模糊图像以恢复潜在清晰图像的方法。 该方法包括通过成像装置拍摄运动模糊图像信号,计算第二信号作为运动模糊图像信号的二维小波变换,以及使用第二信号执行第一自相关分析以估计模糊核。 在估计模糊核心之后,局部自相关分析在运动模糊图像的每个像素位置产生模糊核长度和方向。 此外,第二信号被去噪,并且从模糊核长度和方向重建离散小波变换系数。 执行离散小波变换系数的离散小波变换反演了潜在的清晰图像。

    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND ENDOSCOPE DEVICE
    95.
    发明申请
    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND ENDOSCOPE DEVICE 有权
    图像处理装置,图像处理方法,程序和内窥镜装置

    公开(公告)号:US20150264264A1

    公开(公告)日:2015-09-17

    申请号:US14618240

    申请日:2015-02-10

    申请人: SONY CORPORATION

    发明人: Hisakazu SHIRAKI

    IPC分类号: H04N5/232 G06K9/62

    摘要: An image processing device includes an input unit which inputs ordinary frames in a state in which an object is irradiated with ordinary light, and a special frame in a state in which the object is irradiated with special light, which are imaged consecutively at a predetermined ratio according to a predetermined frame period; a detection unit which detects motion vectors of the object from a plurality of the ordinary frames with different imaging timing; a motion correction unit which subjects the special frame to motion correction corresponding to the imaging timing of the ordinary frames based on the detected motion vectors; and a compositing unit which subjects the ordinary frames to an image compositing process based on the special frame.

    摘要翻译: 一种图像处理装置包括:输入单元,其以普通光照射对象的状态输入普通帧;以及特定帧,其中以特定光照射对象的状态,其以预定比例连续成像 根据预定的帧周期; 检测单元,其从具有不同成像定时的多个普通帧中检测对象的运动矢量; 运动校正单元,其基于检测到的运动矢量对特定帧进行与普通帧的成像定时相对应的运动校正; 以及合成单元,其基于特殊帧对普通帧进行图像合成处理。

    Video Denoising Using Optical Flow
    96.
    发明申请
    Video Denoising Using Optical Flow 有权
    视频去噪使用光流

    公开(公告)号:US20150262336A1

    公开(公告)日:2015-09-17

    申请号:US14205027

    申请日:2014-03-11

    摘要: In techniques for video denoising using optical flow, image frames of video content include noise that corrupts the video content. A reference frame is selected, and matching patches to an image patch in the reference frame are determined from within the reference frame. A noise estimate is computed for previous and subsequent image frames relative to the reference frame. The noise estimate for an image frame is computed based on optical flow, and is usable to determine a contribution of similar motion patches to denoise the image patch in the reference frame. The similar motion patches from the previous and subsequent image frames that correspond to the image patch in the reference frame are determined based on the optical flow computations. The image patch is denoised based on an average of the matching patches from reference frame and the similar motion patches determined from the previous and subsequent image frames.

    摘要翻译: 在使用光流的视频去噪的技术中,视频内容的图像帧包括破坏视频内容的噪声。 选择参考帧,并且从参考帧内确定参考帧中的图像块的匹配补丁。 针对相对于参考帧的先前和后续图像帧计算噪声估计。 基于光流计算图像帧的噪声估计,并且可用于确定类似运动补丁对参考帧中的图像补丁进行去噪的贡献。 基于光流计算确定与参考帧中的图像块相对应的来自先前和后续图像帧的类似运动补丁。 基于来自参考帧的匹配补丁的平均值和从先前和后续图像帧确定的类似运动补丁,去除图像补丁。

    Image blurring correction device
    98.
    发明授权
    Image blurring correction device 有权
    图像模糊校正装置

    公开(公告)号:US09070189B2

    公开(公告)日:2015-06-30

    申请号:US14177651

    申请日:2014-02-11

    发明人: Yoshihiro Kanda

    摘要: The present image blurring correction device includes light field information generating portion, angle blurring amount detecting portion and correcting portion. The light field information generating portion generates a series of light field information corresponding to consecutive shooting images shot by a digital camera. The angle blurring amount detecting portion detects a blurring amount of the digital camera based on variation in the series of light field information. The correcting portion corrects the series of light field information in accordance with the blurring amount so as to suppress variation in the series of light field information.

    摘要翻译: 本图像模糊校正装置包括光场信息产生部分,角度模糊量检测部分和校正部分。 光场信息产生部分产生与由数字照相机拍摄的连续拍摄图像相对应的一系列光场信息。 角度模糊量检测部分基于一系列光场信息的变化来检测数字照相机的模糊量。 校正部根据模糊量校正一系列光场信息,以抑制一系列光场信息的变化。

    Digital image stabilization method and imaging device using the same
    99.
    发明授权
    Digital image stabilization method and imaging device using the same 有权
    数字图像稳定方法和使用其的成像装置

    公开(公告)号:US09055223B2

    公开(公告)日:2015-06-09

    申请号:US13834730

    申请日:2013-03-15

    IPC分类号: H04N5/232 G06T7/20

    摘要: A digital image stabilization method includes taking N frames of a target image with an exposure of T, dividing each of the N frames into predetermined blocks, and selecting a reference frame from among the N frames by setting one of the blocks in each of the N frames as a reference region and comparing reference regions of the respective N frames with one another. The method further includes estimating a motion vector of each of the remaining frames based on a reference region of the reference frame, and generating a result frame by combining a weighted frame, which is obtained by mapping a weight calculated based on the estimated motion vector to each block, and a color component frame.

    摘要翻译: 一种数字图像稳定方法包括以T的曝光拍摄目标图像的N帧,将N个帧中的每一个划分成预定块,并且从N帧中选择一个参考帧,通过将N 帧作为参考区域,并且将各个N帧的参考区域彼此进行比较。 该方法还包括基于参考帧的参考区域来估计每个剩余帧的运动矢量,并且通过组合加权帧来产生结果帧,该加权帧是通过将基于估计运动矢量计算的权重映射到 每个块和一个颜色分量帧。

    VISUALIZATION OF DEFECTS IN A FRAME OF IMAGE DATA
    100.
    发明申请
    VISUALIZATION OF DEFECTS IN A FRAME OF IMAGE DATA 有权
    图像数据框架中缺陷的可视化

    公开(公告)号:US20150154742A1

    公开(公告)日:2015-06-04

    申请号:US14564399

    申请日:2014-12-09

    IPC分类号: G06T5/00 G06K9/18

    摘要: Disclosed are systems, computer-readable mediums, and methods for receiving, from a camera, a frame representing image data prior to the image data being saved in long term memory. Areas of image data are analyzed to determine types of defects contained within each area of image data. At least one area contains a defect, and the types of defects include glare, blur, defocused, and noise. The frame is visually altered based upon each area of image data that contains a defect such that each defect can be ascertained within the frame, and the altered frame is displayed.

    摘要翻译: 本发明公开了一种系统,计算机可读介质和方法,用于在图像数据被保存在长期存储器之前从相机接收表示图像数据的帧。 分析图像数据的区域以确定包含在图像数据的每个区域内的缺陷的类型。 至少有一个区域包含缺陷,缺陷类型包括眩光,模糊,散焦和噪音。 基于包含缺陷的图像数据的每个区域来视觉地改变该帧,使得可以在帧内确定每个缺陷,并且显示改变的帧。