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公开(公告)号：KR1020110124965A
公开(公告)日：2011-11-18
申请号：KR1020100044458
申请日：2010-05-12
Applicant: 삼성전자주식회사
CPC classification number: H04N5/2621 , H04N5/23229 , H04N5/23264 , H04N5/262 , H04N5/2622 , H04N5/2624 , H04N5/2625 , H04N5/2627 , H04N5/2628
Abstract: PURPOSE: A device for generating light lamp effect from out-focusing photography is provided to output a result image by mixing a blur image and an original image through an alpha map. CONSTITUTION: A light area location extracting unit(100) detects the location of pixels corresponding to the light area from an original image. An image effect processing unit(110) blurs the original image. A texture mapping unit(120) maps a preset texture by corresponding to the location of the detected pixels from a blur image. An image mixing unit(140) outputs a result image by mixing the original image and the texture-mapped video.
Abstract translation: 目的：提供从聚焦拍摄产生灯泡效果的装置，通过Alpha图混合模糊图像和原始图像来输出结果图像。 构成：光区域位置提取单元（100）从原始图像检测对应于光区域的像素的位置。 图像效果处理单元（110）模糊原始图像。 纹理映射单元（120）通过对应于来自模糊图像的检测到的像素的位置来映射预设纹理。 图像混合单元（140）通过混合原始图像和纹理映射视频来输出结果图像。
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公开(公告)号：KR1020110072000A
公开(公告)日：2011-06-29
申请号：KR1020090128755
申请日：2009-12-22
Applicant: 삼성전자주식회사
CPC classification number: G09G3/2007 , G09G3/3208 , G09G2320/0626 , G09G2320/066 , G09G2320/0686 , G09G2330/021
Abstract: PURPOSE: A data display method and a data display apparatus are provided to reduce power consumption by partially adjusting brightness of pixels. CONSTITUTION: A control unit(210) grasps a luminance value of each pixel for composing a display window. The control unit determines a display window including contents to be displayed on an AMOLED panel(230). The most luminance value among luminance values of peripheral pixels is determined as a representative luminance value. The luminance value of the determined pixel is changed to the reference luminance value. A driving unit(220) drives an AMOLED.
Abstract translation: 目的：提供数据显示方法和数据显示装置，以通过部分地调整像素的亮度来降低功耗。 构成：控制单元（210）掌握用于构成显示窗口的每个像素的亮度值。 控制单元确定包括要在AMOLED面板（230）上显示的内容的显示窗口。 周边像素的亮度值中的最亮度值被确定为代表亮度值。 所确定的像素的亮度值被改变为参考亮度值。 驱动单元（220）驱动AMOLED。
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公开(公告)号：KR1020110067716A
公开(公告)日：2011-06-22
申请号：KR1020090124416
申请日：2009-12-15
Applicant: 삼성전자주식회사
CPC classification number: G06K9/6255 , G06K9/00926
Abstract: PURPOSE: An apparatus and method for registering a plurality of face image for face recognition are provided to easily register a face image and increase the face recognition rate by enabling a user to request just one time to register various face images. CONSTITUTION: A camera(120) takes images and outputs the images. A face detector(130) detects a face image form the images. A face feature value producing unit(140) grades the feature of face images and then produces face feature value. A controller(100) detects and arrange the image inputted from the camera according to the user request. The controller produces face feature value of the arranged face images and registers the selected face images according to the face feature value.
Abstract translation: 目的：提供一种用于登记用于人脸识别的多个面部图像的装置和方法，以便通过使用户仅仅请求一次来登记各种面部图像来容易地登记面部图像并增加面部识别率。 构成：相机（120）拍摄图像并输出图像。 面部检测器（130）从图像中检测脸部图像。 面部特征值产生单元（140）对脸部图像的特征进行评分，然后产生面部特征值。 控制器（100）根据用户请求检测并排列从摄像机输入的图像。 控制器产生排列的脸部图像的脸部特征值，并根据面部特征值登记所选择的面部图像。
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公开(公告)号：KR101030393B1
公开(公告)日：2011-04-20
申请号：KR1020090014438
申请日：2009-02-20
Applicant: 삼성전자주식회사 , 인하대학교 산학협력단
IPC: H04N9/73
Abstract: 본 발명은 디지털 영상의 화이트 밸런스 조정 방법에 있어서, 입력 영상을 YCbCr 색공간 형태로 변환하는 과정과, 변환된 입력 영상의 각 화소가 YCbCr 색공간(color space)에서 미리 설정된 영역 내에 포함되는지 판단하여 화이트 화소를 검출하는 과정과, 검출된 화이트 화소들의 R, G, B값의 평균으로 각 채널별 이득(gain)을 계산하는 과정과, 계산한 각 채널별 이득을 입력 영상의 각 화소에 적용하여 화이트 밸런스 조정을 수행하는 과정과, 상기 채널별 이득 중에서 특정 채널의 이득을 이용하여 상기 입력 영상의 광원을 구분하는 과정과, 상기 구분된 광원에 해당하는 컬러 매칭 행렬을 적용하여 컬러 매칭을 수행하는 과정을 포함한다.
화이트 밸런스, 컬러 매칭 행렬, 광원, 휘도-
公开(公告)号：KR1020110006878A
公开(公告)日：2011-01-21
申请号：KR1020090064488
申请日：2009-07-15
Applicant: 삼성전자주식회사
IPC: H04N5/262
CPC classification number: H04N5/265 , G06K9/00228 , G06K9/03 , H04N5/232 , H04N5/23219 , H04N5/23293 , H04N5/262
Abstract: PURPOSE: An image producing device about a plurality of individuals taking a photograph of the most satisfactory image is provided to synthesize the best photographed face image after calculating a facial score about a plurality of the faces. CONSTITUTION: An image photographing unit(10) takes a photograph of a plurality of images. A face image detection unit(30) detects a plurality of face images from the photographed images. A face point calculator(40) produces the face point by detected face image. An image determination unit(50) calculates the preset threshold value. An image composition unit(60) synthesizes the face images of the face image maximum face score.
Abstract translation: 目的：提供关于多个拍摄最令人满意的图像的个人的图像产生装置，用于在计算关于多个面部的面部分数之后合成最佳拍摄的面部图像。 构成：图像拍摄单元（10）拍摄多个图像的照片。 面部图像检测单元（30）从所拍摄的图像中检测多个脸部图像。 脸部计算器（40）通过检测到的脸部图像产生面部点。 图像确定单元（50）计算预设阈值。 图像合成单元（60）合成面部图像最大脸部得分的面部图像。
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Patent Agency Ranking
公开(公告)号：KR1020100095827A
公开(公告)日：2010-09-01
申请号：KR1020090014833
申请日：2009-02-23
Applicant: 삼성전자주식회사 , 인하대학교 산학협력단
CPC classification number: H04N9/735
Abstract: PURPOSE: A device and a method for classifying an image are provided to minimize color distortion when applying automatic white balance to an input image. CONSTITUTION: An image converting unit(10) converts an input image into a YCbCr space. An image dividing unit(20) divides the converted image into n x m block units. An image type determining unit(30) detects the number of blocks with color variation. If the number of blocks are lower than a fixed threshold value, the image type determining unit determines the input image as a single color image.
Abstract translation: 目的：提供一种用于分类图像的设备和方法，以在将自动白平衡应用于输入图像时最小化颜色失真。 构成：图像转换单元（10）将输入图像转换为YCbCr空间。 图像分割单元（20）将转换的图像划分为n×m个块单位。 图像类型确定单元（30）检测具有颜色变化的块的数量。 如果块的数量低于固定阈值，则图像类型确定单元将输入图像确定为单个彩色图像。
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公开(公告)号：KR1020100084007A
公开(公告)日：2010-07-23
申请号：KR1020090003389
申请日：2009-01-15
Applicant: 삼성전자주식회사 , 인하대학교 산학협력단
CPC classification number: H04N1/608 , H04N1/6005 , H04N1/6086
Abstract: PURPOSE: A method for controlling white balance is provided to minimize distortion of a color in an image photographed in a single color background. CONSTITUTION: An image which is a white balance object is inputted(S2). A plurality of input pixels is converted into a digital color space(S3). Respective color sections of the converted input pixels are determined(S4). A conversion matrix is determined according to the determined color section(S5). The second color table(R'G'B') is generated by applying the determined conversion matrix according to a color section of the first color table(S6).
Abstract translation: 目的：提供一种用于控制白平衡的方法，以最小化在单色背景下拍摄的图像中的颜色的失真。 构成：输入作为白平衡物体的图像（S2）。 多个输入像素被转换为数字彩色空间（S3）。 确定转换的输入像素的各颜色部分（S4）。 根据所确定的颜色部分确定转换矩阵（S5）。 通过根据第一颜色表的颜色部分应用确定的转换矩阵来生成第二颜色表（R'G'B'）（S6）。
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公开(公告)号：KR1020100070675A
公开(公告)日：2010-06-28
申请号：KR1020080129325
申请日：2008-12-18
Applicant: 삼성전자주식회사
CPC classification number: H04N5/23219 , H04N5/23293 , H04N5/23296 , H04N2101/00
Abstract: PURPOSE: A method for displaying a portrait on a display unit and a device thereof are provided to rapidly check a feature of a portrait photographed from a display unit of a portable terminal. CONSTITUTION: A person image judging unit(140) confirms photographing information of an image. The person image judging unit determines whether the image is a portrait. When the image is the portrait, a face detecting unit(170) detects a face from the image. A person area setup unit(160) sets a person area in the image using the face detecting result. A scaler unit(130) magnifies the person area which is set in the person area setup unit. A display unit(110) displays the magnified person area.
Abstract translation: 目的：提供一种用于在显示单元及其装置上显示肖像的方法，以便从便携式终端的显示单元快速检查拍摄的肖像的特征。 构成：人物图像判断单元（140）确认图像的拍摄信息。 人物图像判断单元确定图像是否是肖像。 当图像是肖像时，脸部检测单元（170）从图像中检测脸部。 人物区域设置单元（160）使用脸部检测结果来设置图像中的人物区域。 缩放器单元（130）放大设置在人物区域设置单元中的人物区域。 显示单元（110）显示放大人物区域。
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公开(公告)号：KR1020100052178A
公开(公告)日：2010-05-19
申请号：KR1020080111088
申请日：2008-11-10
Applicant: 삼성전자주식회사
CPC classification number: G06T3/4084 , G06K9/6857
Abstract: PURPOSE: A high definition image reconfiguration method is provided, which chooses the limit least square method, varies a normalization parameter according to existence and nonexistence of a movement prediction error into a regularization function, enhances a regularization function to a noises square sum term, and minimizes a noises caused by a motion estimation error. CONSTITUTION: Based on a reference image, a relative global motions of a low-resolution images is presumed(120). If the estimated global motion does not satisfy a critical condition, a relative local motions of the rest low-resolution images is presumed(130,140). If the estimated local motions satisfies the critical condition, the estimated local motions is reflected in the global motion(150,160). A best high-resolution image is gained through a reconfiguration of a repetitive high definition image(200).
Abstract translation: 目的：提出一种高清晰度图像重构方法，选择极限最小二乘法，根据移动预测误差的存在和不存在将正则化参数改变为正则化函数，将噪声平方和的正则化函数增强， 最小化由运动估计误差引起的噪声。 构成：基于参考图像，推测出低分辨率图像的相对全局运动（120）。 如果估计的全局运动不满足临界条件，则假设剩下的低分辨率图像的相对局部运动（130,140）。 如果估计的局部运动满足临界条件，则估计的局部运动反映在全局运动中（150,160）。 通过重复的高清晰度图像的重新配置获得最佳的高分辨率图像（200）。
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公开(公告)号：KR1020090061927A
公开(公告)日：2009-06-17
申请号：KR1020070128939
申请日：2007-12-12
Applicant: 삼성전자주식회사
CPC classification number: G06T5/002 , G06T5/005 , G06T2207/10024 , H04N5/3675 , H04N9/045
Abstract: A faulty pixel and noise clearing method is provided to estimate a noise level by using the average of an image, determine and clear a faulty pixel, and remove the thermal noise of an image sensor, thereby obtaining an image of higher quality. The average of an extracted image is calculated(120). A first threshold value for judging the dispersion of noise and the existence of a faulty pixel and a second threshold value for calculating the weight value of a pixel are estimated from the average(130). The faulty of each pixel is determined(140). Weighted signal average and weighted signal dispersion are calculated by using the weight value of each pixel(150). The noise of an image is removed by using the dispersion of the noise, the weighted signal average, and the weighted signal dispersion(160).
Abstract translation: 提供了有缺陷的像素和噪声清除方法，以通过使用图像的平均值，确定和清除有缺陷的像素并消除图像传感器的热噪声来估计噪声水平，从而获得更高质量的图像。 计算提取图像的平均值（120）。 从平均值（130）估计用于判断噪声的色散的第一阈值和有缺陷像素的存在以及用于计算像素的权重值的第二阈值。 确定每个像素的故障（140）。 通过使用每个像素（150）的权重值来计算加权信号平均和加权信号色散。 通过使用噪声的分散，加权信号平均和加权信号色散（160）来去除图像的噪声。
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