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    • 2. 发明授权
    • Method of performing auto white balance in YCbCr color space
    • 在YCbCr颜色空间中执行自动白平衡的方法
    • US08111301B2
    • 2012-02-07
    • US12123900
    • 2008-05-20
    • Joo Hyun KimBong Soon KangKyoung Soo SonWon Tae ChoiBoo Dong Kwak
    • Joo Hyun KimBong Soon KangKyoung Soo SonWon Tae ChoiBoo Dong Kwak
    • H04N9/73G06K9/00
    • H04N9/735
    • There is provided a method of performing auto white balance including: setting a plurality of sections of a whole range of a value of each of Y, Cb, and Cr in the YCbCr color space, according to a size of each value; calculating an accumulated Y, Cb, and Cr value of pixels included in each of the plurality of sections; determining effective sections according to the number of the pixels included in each of the plurality of sections; calculating a mean Y, Cb, and Cr value of pixels included in all of the effective sections by using the accumulated Y, Cb, and Cr value of each of the effective sections; calculating a mean RGB value by converting the mean Y, Cb, and Cr value into an RGB color space; and determining an RGB color gain of a Bayer image outputted from an image sensor by using the mean RGB value.
    • 提供了一种执行自动白平衡的方法,包括:根据每个值的大小,在YCbCr颜色空间中设置Y,Cb和Cr各自的值的整个范围的多个部分; 计算包括在所述多个部分中的每一个中的像素的累积Y,Cb和Cr值; 根据包括在所述多个部分中的每个部分中的像素的数量来确定有效部分; 通过使用每个有效部分的累积Y,Cb和Cr值来计算包括在所有有效部分中的像素的平均值Y,Cb和Cr值; 通过将平均值Y,Cb和Cr值转换成RGB颜色空间来计算平均RGB值; 以及通过使用平均RGB值来确定从图像传感器输出的拜耳图像的RGB色彩增益。
    • 3. 发明授权
    • Apparatus and method of removing color noise of digital image
    • 去除数字图像色噪声的装置和方法
    • US08145014B2
    • 2012-03-27
    • US12188771
    • 2008-08-08
    • Boo Dong KwakBong Soon KangJoo Young HaSung Mok LeeWon Woo JangWon Tae ChoiJoo Hyun Kim
    • Boo Dong KwakBong Soon KangJoo Young HaSung Mok LeeWon Woo JangWon Tae ChoiJoo Hyun Kim
    • G06K9/32
    • H04N9/646H04N9/045
    • There is provided an apparatus for removing color noise including: a color interpolation unit performing color interpolation on a bayer pattern image output from an image sensor; a high-pass filter unit performing high-pass filtering on each of the pixels of the bayer pattern image to generate high-pass filtered values of each of the pixels; a high frequency region determining unit comparing pixel values of a target pixel, from which color noise is removed, and pixels adjacent to the target pixel with the high-pass filtered values to determine whether the target pixel is included in a high frequency region; and a color noise region determining unit using differences between color values of the target pixel interpolated by the color interpolation unit and determining whether the target pixel is included in a color noise region when it is determined that the target pixel is included in the high frequency region.
    • 提供了一种用于去除颜色噪声的装置,包括:彩色内插单元,对从图像传感器输出的拜耳图案图像执行彩色插值; 高通滤波器单元对拜耳图案图像的每个像素执行高通滤波以产生每个像素的高通滤波值; 比较高频区域确定单元,其将通过高通滤波值与目标像素相邻的像素与去除了颜色噪声的像素的像素值进行比较,以确定目标像素是否包括在高频区域中; 以及颜色噪声区域确定单元,其使用由所述颜色内插单元内插的所述目标像素的颜色值之间的差异,并且当确定所述目标像素包括在所述高频区域中时,确定所述目标像素是否包括在颜色噪声区域中 。
    • 6. 发明授权
    • Method of grouping pixels in 2D digital image
    • 2D数字图像中像素分组的方法
    • US08275202B2
    • 2012-09-25
    • US12413935
    • 2009-03-30
    • Joo Hyun KimBong Soon KangSung Jin LeeHyo Won JeongWon Tae ChoiBoo Dong Kwak
    • Joo Hyun KimBong Soon KangSung Jin LeeHyo Won JeongWon Tae ChoiBoo Dong Kwak
    • G06K9/00
    • G06T7/11
    • There is provided a method of grouping pixels in a 2D digital image that assigns labels to regions of objects to differentiate between objects separated in the input image and groups a region of an object having the same label into one group when pattern recognition and image process are performed on the 2D digital image. A method of grouping pixels in a 2d digital image according to an aspect of the invention may include: determining whether a target pixel in an input image is included in a labeling section; determining whether the target pixel is connected to a previous pixel of the target pixel and an upper pixel located adjacent to and above the target pixel to perform a labeling process, and renewing a label table while saving a labeling result in a line memory when the target pixel is included in the labeling section and is a valid pixel including object information; and grouping pixels of the input image using the labeling result and the renewed label table, and renewing a group.
    • 提供了一种对2D数字图像中的像素进行分组的方法,其将标签分配给对象的区域,以区分输入图像中分离的对象,并且当图案识别和图像处理是图像处理时将具有相同标签的对象的区域组合成一个组 在2D数字图像上执行。 根据本发明的一个方面的对2d数字图像中的像素进行分组的方法可以包括:确定输入图像中的目标像素是否包括在标记部分中; 确定所述目标像素是否连接到所述目标像素的先前像素,以及位于所述目标像素附近并位于所述目标像素之上的上像素,以执行标记处理,以及当所述目标像素保持标记结果保存在行存储器中时,更新标签表 像素包括在标记部分中,并且是包括对象信息的有效像素; 并使用标签结果和更新的标签表对输入图像的像素进行分组,并更新组。
    • 7. 发明授权
    • Apparatus for improving sharpness of image
    • 用于提高图像清晰度的装置
    • US08131084B2
    • 2012-03-06
    • US12276091
    • 2008-11-21
    • Joo Hyun KimBong Soon KangHyun Soo KimWon Woo JangKyung Rin KimWon Tae ChoiBoo Dong Kwak
    • Joo Hyun KimBong Soon KangHyun Soo KimWon Woo JangKyung Rin KimWon Tae ChoiBoo Dong Kwak
    • G06T5/00
    • G06T5/20G06T5/003G06T7/13G06T2207/20012G06T2207/20192
    • Provided is an apparatus for improving the sharpness of an image. The apparatus includes an edge detector, an effective edge judging unit, an effective edge classifying unit, an isolated edge judging unit, and a 2-D HPF applying unit. The edge detector calculates an edge value using brightness relation with neighboring pixels with respect to each of pixels of an input image. The effective edge judging unit determines effective edge pixels. The effective edge classifying unit determines weak edge pixels and strong edge pixels. The isolated edge judging unit judges an isolated edge pixel included in an isolated edge. The 2-D HPF applying unit applies a first 2-D HPF to the weak edge pixels, and applies a second 2-D HPF to the strong edge pixels to generate edge strengthening values. The edge strengthening value applying unit adds the edge strengthening values to brightness values of the respective pixels of the input image.
    • 提供了一种用于提高图像的清晰度的装置。 该装置包括边缘检测器,有效边缘判断单元,有效边缘分类单元,隔离边缘判断单元和2-D HPF施加单元。 边缘检测器使用与相邻像素的亮度关系相对于输入图像的每个像素来计算边缘值。 有效边缘判断单元确定有效边缘像素。 有效边缘分类单元确定弱边缘像素和强边缘像素。 隔离边缘判断单元判断包括在隔离边缘中的孤立边缘像素。 2-D HPF应用单元将第一个2-D HPF应用于弱边缘像素,并将第二个2-HPF应用于强边缘像素以产生边缘加强值。 边缘强化值应用单元将边缘强化值与输入图像的各个像素的亮度值相加。