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    • 2. 发明申请
    • DEGRADATION RESTORATION SYSTEM, DEGRADATION RESTORATION METHOD AND PROGRAM
    • 降解恢复系统,降解恢复方法和程序
    • US20140355900A1
    • 2014-12-04
    • US14233973
    • 2012-06-21
    • Takashi ShibataAkihiko IketaniShuji Senda
    • Takashi ShibataAkihiko IketaniShuji Senda
    • G06T5/00
    • G06T5/003G06T5/002G06T2207/20192H04N5/217
    • For each pixel of an input image, a direction toward which variation in pixel value between the relevant pixel and its peripheral pixels is largest and an amount of the variation in pixel value are computed, where a direction unit vector that indicates the direction toward which the variation is largest and a variation vector that represents the amount of the largest variation in the pixel value are computed. For each pixel, a regularization strength is computed utilizing the direction unit vector, the variation vector, and a regularization strength computing formula so that the larger the amount of the variation in pixel value toward a direction indicated by the direction unit vector, the less the regularization strength. An optimization function is determined based on the input image and the regularization strength for each pixel thereof and assigns a value for each pixel, by which the determined optimization function has the minimum value, to the corresponding pixel of a restored image to be generated.
    • 对于输入图像的每个像素,计算相关像素和其周边像素之间的像素值的变化最大并且计算像素值的变化量的方向,其中指示方向的方向单位向量 变化最大,并且计算表示像素值中最大变化量的变化矢量。 对于每个像素,使用方向单位矢量,变化矢量和正则化强度计算公式来计算正则化强度,使得朝向由方向单位向量指示的方向的像素值的变化量越大,则越小 正规化实力。 基于输入图像和其每个像素的正则化强度来确定优化函数,并且将所确定的优化函数具有最小值的每个像素的值分配给要生成的恢复图像的相应像素。
    • 3. 发明授权
    • Degradation restoration system, degradation restoration method and program
    • 降解恢复系统,降解恢复方法和程序
    • US09280807B2
    • 2016-03-08
    • US14233973
    • 2012-06-21
    • Takashi ShibataAkihiko IketaniShuji Senda
    • Takashi ShibataAkihiko IketaniShuji Senda
    • G06K9/40G06T5/00H04N5/217
    • G06T5/003G06T5/002G06T2207/20192H04N5/217
    • For each pixel of an input image, a direction toward which variation in pixel value between the relevant pixel and its peripheral pixels is largest and an amount of the variation in pixel value are computed, where a direction unit vector that indicates the direction toward which the variation is largest and a variation vector that represents the amount of the largest variation in the pixel value are computed. For each pixel, a regularization strength is computed utilizing the direction unit vector, the variation vector, and a regularization strength computing formula so that the larger the amount of the variation in pixel value toward a direction indicated by the direction unit vector, the less the regularization strength. An optimization function is determined based on the input image and the regularization strength for each pixel thereof and assigns a value for each pixel, by which the determined optimization function has the minimum value, to the corresponding pixel of a restored image to be generated.
    • 对于输入图像的每个像素,计算相关像素和其周边像素之间的像素值的变化最大并且计算像素值的变化量的方向,其中指示方向的方向单位向量 变化最大,并且计算表示像素值中最大变化量的变化矢量。 对于每个像素,使用方向单位矢量,变化矢量和正则化强度计算公式来计算正则化强度,使得朝向由方向单位向量指示的方向的像素值的变化量越大,则越小 正规化实力。 基于输入图像和其每个像素的正则化强度来确定优化函数,并且将所确定的优化函数具有最小值的每个像素的值分配给要生成的恢复图像的相应像素。
    • 5. 发明授权
    • Device, method, and computer readable medium for restoring an image
    • 用于恢复图像的装置,方法和计算机可读介质
    • US09317905B2
    • 2016-04-19
    • US14364834
    • 2012-12-10
    • Takashi ShibataAkihiko IketaniShuji Senda
    • Takashi ShibataAkihiko IketaniShuji Senda
    • G06T5/00G06T5/50H04N19/97
    • G06T5/003G06T5/50G06T2207/20081G06T2207/20182H04N19/97
    • An image processing device, which uses a dictionary which stores data of two or over sets which associate a blurred patch of a blurred image generated by blurring a predetermined image with a restoration patch of the predetermined image. The device includes a processor that processes instructions to generate a tentative restored image from the restoration patch selected based on values indicating similarities between plural input patches generated by dividing an inputted input image and the blurred patch. The processor also processes the instructions to generate a tentative patch by dividing the tentative restored image. The processor further processes the instructions to generate a restored image from the restoration patch selected based on a sum of the value indicating the similarity between the input patch and the blurred patch and a value indicating the similarity between the tentative patch and the restoration patch.
    • 一种图像处理装置,其使用存储两个或多个集合的数据的字典,其将通过使预定图像模糊而产生的模糊图像的模糊图像与预定图像的恢复块相关联。 该装置包括处理器,其处理指令,以从基于通过划分所输入的输入图像和模糊补丁生成的多个输入补丁之间的相似度的值所选择的恢复补丁生成暂定恢复图像。 处理器还通过划分暂时恢复的图像来处理指令以产生临时补丁。 所述处理器进一步处理所述指令以根据指示所述输入补丁和所述模糊补丁之间的相似性的值的和来选择的所述恢复补丁生成恢复图像,以及指示所述临时补丁与所述恢复补丁之间的相似性的值。
    • 6. 发明授权
    • Image processing system and image processing method
    • 图像处理系统和图像处理方法
    • US09317904B2
    • 2016-04-19
    • US14361099
    • 2012-12-10
    • Takashi ShibataAkihiko IketaniShuji Senda
    • Takashi ShibataAkihiko IketaniShuji Senda
    • G06T5/00G06T7/00G06K9/66G06T5/50G06K9/62H04N19/97G06T9/00
    • G06T5/003G06K9/6256G06K9/66G06T5/50G06T9/008G06T2207/20024G06T2207/20081G06T2207/20182G06T2207/20201H04N19/97
    • Provided is an image processing device that can bring about the sufficient resemblance between an original image and a restored image obtained corresponding to a low resolution input image. The image processing device includes a means that uses a dictionary for storing data associating deteriorated patches which are from a deteriorated image formed by deteriorating a prescribed image, and restoration patches which are from the prescribed image, and calculates, as a degree-of-similarity between plural input patches generated by dividing an input image and the deteriorated patches, a weighted degree-of-similarity between weighted deteriorated patches and weighted input patches, in which forms of the deteriorated patches and the input patches are reconfigured using a patch weight which is continuous weighting; a means that selects, on the basis of the weighted degree-of-similarity, a restoration patch for each input patch; and a means that combines the restoration patches to generate a restored image.
    • 提供了一种图像处理装置,其能够在原始图像和对应于低分辨率输入图像获得的恢复图像之间产生足够的相似性。 图像处理装置包括使用字典来存储关联来自由恶化规定图像形成的劣化图像的劣化斑块的数据和来自规定图像的恢复斑块的数据,并计算为相似度 在通过分割输入图像和劣化斑块生成的多个输入片段之间,加权劣化斑块和加权输入片段之间的加权相似度,其中使用补丁权重来重新配置劣化片段和输入片段的形式, 连续加权 基于加权的相似度来选择每个输入补丁的恢复补丁的装置; 并且是组合恢复补丁以生成恢复的图像的手段。
    • 7. 发明申请
    • Automatic Projection Image Correction System, Automatic Projection Image Correction Method, and Non-Transitory Storage Medium
    • 自动投影图像校正系统,自动投影图像校正方法和非瞬态存储介质
    • US20140340529A1
    • 2014-11-20
    • US14344806
    • 2012-09-11
    • Takashi ShibataAkihiko IketaniShuji Senda
    • Takashi ShibataAkihiko IketaniShuji Senda
    • H04N9/31
    • H04N9/3185G03B21/14G06T5/006G09G3/002G09G2320/0693G09G2380/00H04N5/23296H04N5/2628H04N5/74H04N9/3194H04N9/3197
    • An automatic projection image correction system (1) includes: a projection image frame detection unit (101) that detects straight lines forming a frame of a screen-projected image which is projected onto a screen by a projector from a captured image obtained by capturing the screen-projected image using a camera; and a projector plane parameter estimation unit (102) that sets coordinate axes to a projector image, which is an original image of the screen-projected image, and the captured image and estimates at least one of a distance between the screen and the projector, an inclination of the screen with reference to an optical axis of the projector, and a zoom ratio of the projector, using an inclination of the optical axes of the projector and the camera, a distance between the optical centers of the projector and the camera, an intrinsic parameter of the camera, coordinate data of the detected straight lines at coordinates of the captured image, and coordinate data of straight lines corresponding to the frame at coordinates of the projector image.
    • 自动投影图像校正系统(1)包括:投影图像帧检测单元(101),其从通过捕获所获得的捕获图像检测由投影仪投影到屏幕上的屏幕投影图像的帧的直线 使用相机的屏幕投影图像; 以及投影仪平面参数估计单元,其将坐标轴设置为作为所述屏幕投影图像的原始图像的投影仪图像和所述拍摄图像,并且估计所述屏幕与所述投影仪之间的距离中的至少一个, 相对于投影仪的光轴的倾斜度和投影仪的光轴的倾斜度与投影仪的光轴之间的距离的投影机的变焦比, 摄像机的固有参数,在拍摄图像的坐标处检测到的直线的坐标数据和与投影仪图像的坐标处的帧对应的直线的坐标数据。
    • 8. 发明申请
    • IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND IMAGE PROCESSING PROGRAM
    • 图像处理设备,图像处理方法和图像处理程序
    • US20120170861A1
    • 2012-07-05
    • US13395820
    • 2010-09-09
    • Takashi ShibataAkihiko IketaniShuji Senda
    • Takashi ShibataAkihiko IketaniShuji Senda
    • G06K9/40
    • G06T5/50G06K9/627G06K9/6277G06T3/4076G06T5/003G06T2207/20012G06T2207/20076H04N1/40
    • In an image processing apparatus, a conditional probability calculating element calculates the probability of existence of an attribute as to each region in an input degraded image, for each attribute. Optimization function determining element uses a conditional probability calculated by the conditional probability calculating element with regard to each region in the degraded image for each attribute, a-priori knowledge defined as a conditional probability of appearance of an attribute in a region of a candidate of a restored image when there is the attribute in the region, and the input degraded image to determine an optimization function using the candidate of the restored image as a variable and yielding a smaller value as the candidate of the restored image is closer to a true restored image. Restored image determining element adopts the candidate of the restored image with which the optimization function yields a minimum value as the restored image.
    • 在图像处理装置中,条件概率计算元素针对每个属性计算关于输入退化图像中的每个区域的属性的存在概率。 优化函数确定元素使用由条件概率计算元素针对每个属性针对退化图像中的每个区域计算的条件概率,被定义为在候选的候选区域中的属性出现的条件概率的先验知识 当存在该区域中的属性时恢复图像,并且输入退化图像使用恢复图像的候选来确定优化函数作为变量,并且当恢复图像的候选更接近真实的恢复图像时产生较小的值 。 恢复图像确定元件采用恢复图像的候选,优化函数产生最小值作为恢复图像。
    • 9. 发明授权
    • Image processing apparatus, image processing method and image processing program
    • 图像处理装置,图像处理方法和图像处理程序
    • US09196025B2
    • 2015-11-24
    • US13395820
    • 2010-09-09
    • Takashi ShibataAkihiko IketaniShuji Senda
    • Takashi ShibataAkihiko IketaniShuji Senda
    • G06T5/50G06K9/62G06T3/40G06T5/00H04N1/40
    • G06T5/50G06K9/627G06K9/6277G06T3/4076G06T5/003G06T2207/20012G06T2207/20076H04N1/40
    • In an image processing apparatus, a conditional probability calculating element calculates the probability of existence of an attribute as to each region in an input degraded image, for each attribute. Optimization function determining element uses a conditional probability calculated by the conditional probability calculating element with regard to each region in the degraded image for each attribute, a-priori knowledge defined as a conditional probability of appearance of an attribute in a region of a candidate of a restored image when there is the attribute in the region, and the input degraded image to determine an optimization function using the candidate of the restored image as a variable and yielding a smaller value as the candidate of the restored image is closer to a true restored image. Restored image determining element adopts the candidate of the restored image with which the optimization function yields a minimum value as the restored image.
    • 在图像处理装置中,条件概率计算元素针对每个属性计算关于输入退化图像中的每个区域的属性的存在概率。 优化函数确定元素使用由条件概率计算元素针对每个属性针对退化图像中的每个区域计算的条件概率,被定义为在候选的候选区域中的属性出现的条件概率的先验知识 当存在该区域中的属性时恢复图像,并且输入退化图像使用恢复图像的候选来确定优化函数作为变量,并且当恢复图像的候选更接近真实的恢复图像时产生较小的值 。 恢复图像确定元件采用恢复图像的候选,优化函数产生最小值作为恢复图像。
    • 10. 发明授权
    • Method and system for recovering a code image including blurring
    • 用于恢复包括模糊的代码图像的方法和系统
    • US08908988B2
    • 2014-12-09
    • US13812080
    • 2011-08-11
    • Takashi ShibataAkihiko IketaniShuji Senda
    • Takashi ShibataAkihiko IketaniShuji Senda
    • G06K9/40G06T5/00G06K7/14
    • G06T5/003G06K7/1473
    • Error-function determining means makes use of a blur function serving as a function representing the degree of blurring of a blurred input image and a geometrical-deformation matrix serving as a matrix for restricting an operation to lay out a 2-dimensional code shown by the input image on cells each serving as a configuration unit of the 2-dimensional code in order to determine an error function serving as a function satisfying a relation that, the smaller the error between the input image and an image obtained by adding geometrical deformations and blurs to a recovered image obtained from a recovering process, the more the approach to a result determined in advance. Pixel-value restricting means determines pixel-value restriction information prescribing a restriction condition for a restriction imposed on a predetermined pixel value obtained from discretization of pixel values of the 2-dimensional code to be recovered. Objective-function determining means makes use of the error function and the pixel-value restriction information as a basis for determining an objective function serving as a function satisfying a relation that, the closer the recovered image to the true image, the more the approach to a result determined in advance. Objective-function optimizing means determines a recovered image optimizing the objective function.
    • 误差函数确定装置利用作为表示模糊输入图像的模糊度的函数的模糊函数,以及用作限制作为矩阵的几何变形矩阵的模糊函数,用于布置由 在每个用作二维码的配置单元的单元上输入图像,以便确定作为满足以下关系的函数的误差函数:输入图像与通过添加几何变形和模糊而获得的图像之间的误差越小 对于从恢复处理获得的恢复图像,预先对确定结果的方法越多。 像素值限制装置确定像素值限制信息,其规定对从要恢复的二维码的像素值离散获得的预定像素值施加的限制的限制条件。 目标函数确定装置利用误差函数和像素值限制信息作为确定目标函数的基础,该目标函数用作满足以下关系的函数,即,将恢复的图像越接近真实图像越接近于 预先确定的结果。 目标函数优化装置确定优化目标函数的恢复图像。