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    • 31. 发明申请
    • Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded
    • 图像处理装置,图像处理方法,记录有图像处理控制程序的介质,图像评价装置,图像评价方法以及记录有图像评价程序的介质
    • US20060262354A1
    • 2006-11-23
    • US11491305
    • 2006-07-24
    • Naoki KuwataYoshihiro Nakami
    • Naoki KuwataYoshihiro Nakami
    • H04N1/23
    • G06K9/00523H04N1/40062H04N1/4074H04N19/17
    • In image processing according to the prior art, the important part of photographic image data (referred to herein as the object) could not be determined and therefore required human participation. A computer 21 which is the core of image processing calculates an edginess which is an image variation from a differential value of data for adjacent picture elements in a step SA110, and determines object picture elements by selecting only images with a large variation in steps SA120, SA130. As optimum parameters for contrast correction and lightness compensation are calculated from image data for object picture elements in steps SA310-SA330, image processing indicators based on object picture elements are determined, and optimum image processing can be performed automatically. After summing a luminance distribution for each area of the image, which is a feature amount, while uniformly selecting picture elements in a step SB110, a reevaluation is performed by a weighting determined for each area in a step SB120, and a luminance distribution strongly influenced by the luminance distribution of the photographed object is thus obtained with uniform sampling. After determining the intensity of this luminance distribution insteps SB130-SB150, the image data is converted in a step SB160, and image processing can therefore be performed with optimum intensity while reducing the processing amount.
    • 在根据现有技术的图像处理中,摄影图像数据(本文中称为对象)的重要部分不能被确定,因此需要人参与。 作为图像处理的核心的计算机21根据步骤SA110中的相邻像素的数据的差分值计算作为图像变化的偏移,并且通过仅选择步骤SA中具有较大变化的图像来确定对象图像元素 120,SA 130。 由于步骤SA 310 -SA 330中对象图像元素的图像数据计算出对比度校正和亮度补偿的最佳参数,因此确定基于对象图像元素的图像处理指示符,并且可以自动执行最佳图像处理。 在对于作为特征量的图像的每个区域的亮度分布求和之后,在步骤SB 110中均匀地选择图像元素的同时,通过对步骤SB 120中的每个区域确定的加权来执行重新评估,并且, 因此,通过均匀取样可以获得受拍摄物体的亮度分布的强烈影响。 在确定该亮度分布的强度之后,使步骤SB130 -SB150,在步骤SB160中转换图像数据,因此可以以最佳强度执行图像处理,同时减少处理量。
    • 32. 发明申请
    • Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded
    • 图像处理装置,图像处理方法,记录有图像处理控制程序的介质,图像评价装置,图像评价方法以及记录有图像评价程序的介质
    • US20060256384A1
    • 2006-11-16
    • US11491278
    • 2006-07-24
    • Naoki KuwataYoshihiro Nakami
    • Naoki KuwataYoshihiro Nakami
    • H04N1/40
    • G06K9/00523H04N1/40062H04N1/4074H04N19/17
    • In image processing according to the prior art, the important part of photographic image data (referred to herein as the object) could not be determined and therefore required human participation. A computer 21 which is the core of image processing calculates an edginess which is an image variation from a differential value of data for adjacent picture elements in a step SA110, and determines object picture elements by selecting only images with a large variation in steps SA120, SA130. As optimum parameters for contrast correction and lightness compensation are calculated from image data for object picture elements in steps SA3 10-SA330, image processing indicators based on object picture elements are determined, and optimum image processing can be performed automatically. After summing a luminance distribution for each area of the image, which is a feature amount, while uniformly selecting picture elements in a step SB110, a reevaluation is performed by a weighting determined for each area in a step SB120, and a luminance distribution strongly influenced by the luminance distribution of the photographed object is thus obtained with uniform sampling. After determining the intensity of this luminance distribution insteps SB130-SB150, the image data is converted in a step SB160, and image processing can therefore be performed with optimum intensity while reducing the processing amount.
    • 在根据现有技术的图像处理中,摄影图像数据(本文中称为对象)的重要部分不能被确定,因此需要人参与。 作为图像处理的核心的计算机21根据步骤SA110中的相邻像素的数据的差分值计算作为图像变化的偏移,并且通过仅选择步骤SA中具有较大变化的图像来确定对象图像元素 120,SA 130。 由于在步骤SA3-S10-3A中,对于对象图像元素的图像数据计算出对比度校正和亮度补偿的最佳参数,因此确定了基于对象图像元素的图像处理指示符,并且可以自动执行最佳图像处理。 在对于作为特征量的图像的每个区域的亮度分布求和之后,在步骤SB 110中均匀地选择图像元素的同时,通过对步骤SB 120中的每个区域确定的加权来执行重新评估,并且, 因此,通过均匀取样可以获得受拍摄物体的亮度分布的强烈影响。 在确定该亮度分布的强度之后,使步骤SB130 -SB150,在步骤SB160中转换图像数据,因此可以以最佳强度执行图像处理,同时减少处理量。
    • 34. 发明授权
    • Image processing apparatus, image processing method and medium for
storing image-processing control program
    • 图像处理装置,用于存储图像处理控制程序的图像处理方法和介质
    • US6151410A
    • 2000-11-21
    • US969676
    • 1997-11-13
    • Naoki KuwataYoshihiro Nakami
    • Naoki KuwataYoshihiro Nakami
    • H04N1/60H04N9/73
    • H04N1/6077
    • Traditionally, the operator must determine the type of an image displayed on a screen and manually select one of various kinds of effect processing for the type of the image. As is generally known, however, such operations have a lack of accuracy and are difficult for an untrained user to carry out. In addition, the image is not correctly compensated for color slippages over the entire gradation range. Furthermore, in the case of image data including an abnormal element other than just a color slippage, the image can not be corrected with a high degree of efficiency. At a step S102, a sample-count distribution of image data is found for each color component by applying a thinning technique on samples. At a step S116, a judgment as to whether or not analogy exists among the sample-count distributions of the color components is formed. A low degree of analogy is regarded as an indicator which suggests that characteristics recognized from the sample-count distributions shall naturally be made uniform among the color components. In this case, the characteristics are compensated for a color slippage included therein by correcting an offset, putting an emphasis on the contrast and correcting the brightness at steps S204 to S216 in order to produce a well pitched and good image from the image data with poor color reproducibility. In addition, since the compensation and correction work is automated, even an untrained user is capable of correcting the balance of color with ease. Furthermore, at a step S205, an offset quantity reflecting a degree of analogy is calculated for use in the compensation of the characteristics for a color slippage.
    • 传统上,操作者必须确定屏幕上显示的图像的类型,并手动选择图像类型的各种效果处理之一。 然而,众所周知,这样的操作缺乏准确性,对于未经训练的用户来说难以进行。 另外,在整个灰度范围内的图像没有被正确地补偿颜色滑移。 此外,在包括除了颜色滑动之外的异常元素的图像数据的情况下,不能以高效率来校正图像。 在步骤S102中,通过对样本应用稀疏技术,针对每个颜色分量找到图像数据的样本数分布。 在步骤S116中,形成关于颜色分量的样本计数分布之间是否存在类比的判断。 低度的类比被认为是一个指标,表明从样本计数分布中识别的特征在颜色成分中自然是一致的。 在这种情况下,通过校正偏移量来补偿其中包含的颜色滑动的特性,强调对比度并在步骤S204至S216校正亮度,以便从具有差的图像数据产生良好的俯仰和良好的图像 颜色重现性。 此外,由于补偿和校正工作是自动化的,所以即使未经训练的用户也能够容易地校正颜色的平衡。 此外,在步骤S205,计算反映类似程度的偏移量,用于补偿颜色滑动的特性。
    • 35. 发明授权
    • Adjustment for output image of image data
    • 调整图像数据的输出图像
    • US08040390B2
    • 2011-10-18
    • US12001585
    • 2007-12-11
    • Yoshihiro Nakami
    • Yoshihiro Nakami
    • H04N9/73
    • H04N1/6086
    • When a memory card is inserted into a slot, the control circuit of a color printer obtains image output control information from a memory card and analyzes it. When auto light source is not set as the light source, the CPU references the reference values and coefficients for the characteristics parameters except for color balance and performs correction, and then adjusts the image data image quality to reflect the post-correction characteristics parameters. As a result, it is possible to automatically adjust the image quality of image data without losing the selectively set output conditions.
    • 当将存储卡插入插槽时,彩色打印机的控制电路从存储卡获得图像输出控制信息并进行分析。 当自动光源未设置为光源时,CPU会参考除颜色平衡以外的特性参数的参考值和系数,并执行校正,然后调整图像数据图像质量以反映校正后特性参数。 结果,可以自动调整图像数据的图像质量而不会失去选择性地设置的输出条件。
    • 36. 发明授权
    • Image processing based on object information
    • 基于对象信息的图像处理
    • US07945109B2
    • 2011-05-17
    • US12456491
    • 2009-06-16
    • Yoshihiro Nakami
    • Yoshihiro Nakami
    • G06K9/36
    • H04N1/32128G06T5/009G06T5/40H04N5/2351H04N2201/3222H04N2201/3242H04N2201/3277
    • A CPU divides an image into plural regions and for each of the regions, generates a histogram and calculates an average brightness Y ave. The CPU determines a focus location on the image by using focus location information, sets a region at the determined location as an emphasis region, and sets the average brightness Y ave of the emphasis region as a brightness criterion Y std. The CPU uses the brightness criterion Y std to determine non-usable regions. By using the regions not excluded as non-usable regions, the CPU calculates an image quality adjustment average brightness Y′ ave, i.e. the average brightness of the entire image, with a weighting W in accordance with the locations of the regions reflected thereto, and executes a bright value correction by using the calculated image quality adjustment average brightness Y′ ave.
    • CPU将图像分割成多个区域,并且对于每个区域,生成直方图并计算平均亮度Y ​​ave。 CPU通过使用聚焦位置信息来确定图像上的焦点位置,将确定位置处的区域设置为强调区域,并将加亮区域的平均亮度Y ​​ave设置为亮度准则Y std。 CPU使用亮度标准Y std来确定不可用的区域。 通过使用不排除为不可用区域的区域,CPU根据反映的区域的位置,以加权W计算图像质量调整平均亮度Y'ave,即整个图像的平均亮度,以及 通过使用计算出的图像质量调整平均亮度Y'ave执行亮度值校正。
    • 37. 发明授权
    • Image processing of image data
    • 图像数据的图像处理
    • US07576781B2
    • 2009-08-18
    • US10752381
    • 2004-01-05
    • Toshie ImaiYoshihiro Nakami
    • Toshie ImaiYoshihiro Nakami
    • H04N5/28H04N5/76
    • H04N1/00278H04N1/32128H04N2201/0084H04N2201/3242H04N2201/3252
    • Image processing apparatus 10 analyzes image data to acquire picture quality characteristic values, and uses shooting information SI and image processing control information GI associated with the image data to define a scene correction condition and an arbitrary correction condition. The image processing apparatus 10 preferentially uses information from the image processing control information GI, while using [information] from the shooting information SI where this information is not present in the image processing control information GI, with the aim of effective mutual utilization of image processing control information GI and shooting information SI. The image processing apparatus 10 defines an automatic correction level AP on the basis of the acquired picture quality characteristic values, scene correction condition and arbitrary correction condition, and defines a manual correction level MP on the basis of a manual correction condition in the image processing control information GI. Utilizing the automatic correction level AP and manual correction level MP, the image processing apparatus 10 executes a picture quality adjustment process to correct the image data.
    • 图像处理装置10分析图像数据以获取图像质量特征值,并且使用与图像数据相关联的拍摄信息SI和图像处理控制信息GI来定义场景校正条件和任意校正条件。 图像处理装置10优先使用来自图像处理控制信息GI的信息,同时使用来自图像处理控制信息GI中不存在该信息的拍摄信息SI的[信息],目的是有效地相互利用图像处理 控制信息GI和拍摄信息SI。 图像处理装置10基于所获取的图像质量特性值,场景校正条件和任意校正条件来定义自动校正水平AP,并且基于图像处理控制中的手动校正条件来定义手动校正水平MP 信息GI。 利用自动校正级AP和手动校正级MP,图像处理装置10执行图像质量调整处理以校正图像数据。
    • 39. 发明授权
    • Adjustment for output image of image data
    • 调整图像数据的输出图像
    • US07301566B2
    • 2007-11-27
    • US10618104
    • 2003-07-11
    • Yoshihiro NakamiIkuo Hayaishi
    • Yoshihiro NakamiIkuo Hayaishi
    • H04N5/235H04N5/228
    • H04N1/6027H04N1/6086H04N5/2352
    • In case where photo information PI (Exif IFD) is included in image data GF, a CPU calculates a modified contrast correction amount tCurve_cont and a modified brightness value correction amount tCurve_Y, in consideration of an exposure correction amount (a light exposure) EV. The CPU applies the obtained modified contrast correction amount tCurve_cont and the modified brightness value correction amount tCurve_Y to a tone curve, and executes an adjustment of image quality including contrast and brightness value. In other words, the CPU modifies characteristics of the tone curve by using the modified contrast correction amount tCurve_cont and the modified brightness value correction amount tCurve_Y, and adjusts the image quality of the image data by applying the modified tone curve to the image data GD.
    • 在图像数据GF中包含照片信息PI(Exif IFD)的情况下,考虑到曝光校正量(曝光)EV,CPU计算修正对比度校正量tCurve_cont和修正亮度值校正量tCurve_Y。 CPU将获得的修正对比度校正量tCurve_cont和修改的亮度值校正量tCurve_Y应用于色调曲线,并且执行包括对比度和亮度值的图像质量的调整。 换句话说,CPU通过使用修改的对比度校正量tCurve_cont和修改的亮度值校正量tCurve_Y来修改色调曲线的特性,并通过将修改的色调曲线应用于图像数据GD来调整图像数据的图像质量。