IMAGE PROCESSING DEVICE AND IMAGE PROCESSING APPARATUS
    4.
    发明申请
    IMAGE PROCESSING DEVICE AND IMAGE PROCESSING APPARATUS 审中-公开
    图像处理装置和图像处理装置

    公开(公告)号:US20150131128A1

    公开(公告)日:2015-05-14

    申请号:US14602135

    申请日:2015-01-21

    IPC分类号: G06K15/02 H04N1/32 H04N1/23

    摘要: An image processing device includes a first and a second image processing module including an image processing unit, and a connection module that is connected to the first and second image processing modules, and moves an image data from one image processing module to the other image processing module. At least one of the image processing modules includes a weighted average processing unit that calculates, based on a weighting coefficient included in an attribute value, a weighted average of a pixel value of the input image data and a image processed pixel value, and an output unit which outputs at least one of the image processed pixel value and the weighted-averaged pixel value.

    摘要翻译: 图像处理装置包括第一和第二图像处理模块,包括图像处理单元和连接到第一和第二图像处理模块的连接模块,并将图像数据从一个图像处理模块移动到另一个图像处理 模块。 至少一个图像处理模块包括加权平均处理单元,其基于属性值中包括的加权系数,计算输入图像数据的像素值和图像处理像素值的加权平均值,以及输出 输出图像处理像素值和加权平均像素值中的至少一个的单元。

    Image processing apparatus for displaying image on display unit and control method thereof
    6.
    发明授权
    Image processing apparatus for displaying image on display unit and control method thereof 有权
    用于在显示单元上显示图像的图像处理装置及其控制方法

    公开(公告)号:US08780107B2

    公开(公告)日:2014-07-15

    申请号:US13155888

    申请日:2011-06-08

    IPC分类号: G06T15/00 H04N5/202 G06K9/00

    摘要: A frequency of each gradation in an image for the left eye histogram is compared with a frequency of each gradation in an image for the right eye histogram. An integration histogram is generated using at least a larger one of the frequency of each gradation in the image for the left eye histogram and the frequency of each gradation in the image for the right eye histogram. A gradation correction parameter is set based on the generated integration histogram. The gradations of the image for the left eye and the image for the right eye are corrected using the gradation correction parameter.

    摘要翻译: 将用于左眼直方图的图像中的每个灰度的频率与用于右眼直方图的图像中的每个灰度的频率进行比较。 使用左眼直方图的图像中的每个灰度的频率中的至少较大的一个以及用于右眼直方图的图像中的每个灰度的频率来生成积分直方图。 基于生成的积分直方图来设置灰度校正参数。 使用灰度校正参数校正左眼图像和右眼图像的灰度。

    Generating A Combined Image From Multiple Images
    7.
    发明申请
    Generating A Combined Image From Multiple Images 有权
    从多个图像生成组合图像

    公开(公告)号:US20130336599A1

    公开(公告)日:2013-12-19

    申请号:US13970299

    申请日:2013-08-19

    IPC分类号: G06K9/60

    摘要: A determination is made for each of multiple regions in multiple images of how good that region is perceived as being. A base image is identified, and a combined image is generated from the multiple images by automatically replacing each region of the base image with a corresponding region of another image if the corresponding region has been determined as being better than the region of the base image. The generating of the combined image can include automatically selecting from one of the multiple images a region in which an object that is present in one or more corresponding regions of other images is absent. Additionally, for a particular region of the base image, corresponding regions of the other images can be displayed, and the particular region replaced with a user-selected one of the corresponding regions of the other images.

    摘要翻译: 对多个图像中的多个区域中的每个区域进行确定,该区域被感知为多好。 识别基本图像,并且如果相应区域已被确定为优于基本图像的区域,则通过用另一图像的对应区域自动替换基本图像的每个区域,从多个图像生成组合图像。 组合图像的生成可以包括在多个图像中的一个图像中自动选择其中存在于其它图像的一个或多个对应区域中的对象不存在的区域。 此外,对于基本图像的特定区域,可以显示其他图像的对应区域,并且特定区域被用户选择的其它图像的对应区域中的一个替换。

    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR COMPENSATING EYE COLOR DEFECTS
    8.
    发明申请
    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR COMPENSATING EYE COLOR DEFECTS 有权
    用于补偿眼睛颜色缺陷的方法,装置和计算机程序产品

    公开(公告)号:US20130308857A1

    公开(公告)日:2013-11-21

    申请号:US13807551

    申请日:2011-05-17

    IPC分类号: G06T7/00

    摘要: A red-eye detection and correction method comprises computing a first difference image based on a difference between red pixel intensity and green pixel intensity of a set of pixels (702). The set of pixels are associated with a first eye region of an image. The method further comprises processing the first difference image for computing at least one gradient and at least one projection associated with the at least one gradient (704). Furthermore, the method comprises determining at least one central point based on the at least one projection (706); and thereafter computing the first eye color defect region based on the at least one central point and a plurality of red pixels of the set of pixels (708). The method also comprises mapping an eye color defect location information computed from a low resolution image to be applicable on the original high resolution image, thereby avoiding recomputation.

    摘要翻译: 红眼检测和校正方法包括基于红色像素强度和一组像素的绿色像素强度之间的差异来计算第一差分图像(702)。 像素集合与图像的第一眼睛区域相关联。 该方法还包括处理第一差异图像以计算与至少一个梯度相关联的至少一个梯度和至少一个投影(704)。 此外,所述方法包括基于所述至少一个投影来确定至少一个中心点(706); 然后基于该组像素的至少一个中心点和多个红色像素计算第一眼睛颜色缺陷区域(708)。 该方法还包括将从低分辨率图像计算的眼色缺陷位置信息映射到原始高分辨率图像上,从而避免重新计算。