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公开(公告)号：KR1020150126192A
公开(公告)日：2015-11-11
申请号：KR1020140053492
申请日：2014-05-02
Applicant: 삼성전자주식회사
CPC classification number: H04N5/23212 , G06T7/593 , H04N5/23245 , H04N13/207 , H04N13/271
Abstract: 전자장치및 전자장치에서촬영방법과관련된다양한실시예들이기술된바, 한실시예에따르면, 화면을표시하는디스플레이; 제1 영상신호와뎁스정보를출력하는뎁스센서; 제2 영상신호를출력하는이미지센서; 및상기제1 영상신호를이용하여상기디스플레이에프리뷰화면을표시하고, 촬영요청시 제2 영상신호를이용하여촬영순간의이미지를획득함과동시에촬영순간의뎁스정보를획득하고, 상기이미지와상기뎁스정보를저장하도록제어하는제어부를를 포함할수 있으며, 이외에도다양한다른실시예들이가능하다.
Abstract translation: 本发明提供了与电子设备中的电子设备和拍摄方法有关的各种实施例。 根据一个实施例，电子设备包括：用于显示屏幕的显示器; 用于输出第一图像信号和深度信息的深度传感器; 用于输出第二图像信号的图像传感器; 以及控制单元，用于通过使用第一图像信号将预览屏幕显示到显示器，用于通过使用第二图像信号获取摄影时的图像，同时获取拍摄时刻的深度信息，以及 用于控制以存储图像和深度信息。 此外，其他实施例也是可能的。
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公开(公告)号：KR1020100095253A
公开(公告)日：2010-08-30
申请号：KR1020090014438
申请日：2009-02-20
Applicant: 삼성전자주식회사 , 인하대학교 산학협력단
IPC: H04N9/73
Abstract: PURPOSE: A device and a method for controlling white balance of a digital image are provided to accurately detect with area of an image including white, thereby improving the performance of controlling the white balance. CONSTITUTION: An input image is transformed into YCbCr color space form(920). By detecting whether each pixel of the converted input image is included in a preset area in YCbCr color space or not, a white pixel is detected(930). Gain by each channel is calculated with an average of R,G,B value of the detected white pixels(940). A white balance control is performed by adopting each calculated channel gain to each pixel of the input image(950).
Abstract translation: 目的：提供一种用于控制数字图像的白平衡的装置和方法，用于准确地检测包括白色的图像的区域，从而提高白平衡的控制性能。 构成：将输入图像转换为YCbCr颜色空间格式（920）。 通过检测转换的输入图像的每个像素是否包含在YCbCr色彩空间中的预设区域中，检测白色像素（930）。 用检测到的白色像素的R，G，B值的平均值计算每个通道的增益（940）。 通过对输入图像的每个像素采用每个计算的通道增益来执行白平衡控制（950）。
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公开(公告)号：KR1020110092078A
公开(公告)日：2011-08-17
申请号：KR1020100011522
申请日：2010-02-08
Applicant: 삼성전자주식회사
CPC classification number: H04N5/3675 , H04N2209/046
Abstract: PURPOSE: A device and method for removing of defect pixel are provided to exactly remove only a faulty pixel while effectively removing continuous faulty pixel at the same time. CONSTITUTION: An inter-channel defect removal unit(405) determines an output value of an inter-channel by using an average value of neighboring pixel with a value of a center pixel. A cross-channel defect removal unit(410) determines an output value of a cross channel by using neighboring pixels neighboring to the center pixel. A center process unit(415) outputs a value of the center pixel. A center value calculation unit calculates a finial center value among a value of the center pixel, an output value of the cross channel, and an output value of the inter-channel. A faulty pixel determination unit(425) removes a faulty pixel based on the difference between the calculated final center value and the value of the center pixel.
Abstract translation: 目的：提供用于去除缺陷像素的装置和方法，以精确地去除有缺陷的像素，同时有效地去除连续的有缺陷的像素。 构成：信道间缺陷消除单元（405）通过使用具有中心像素的值的相邻像素的平均值来确定信道间的输出值。 交叉通道缺陷消除单元（410）通过使用与中心像素相邻的相邻像素来确定交叉通道的输出值。 中心处理单元（415）输出中心像素的值。 中心值计算单元计算中心像素的值，交叉声道的输出值和声道间的输出值之间的最终中心值。 故障像素确定单元（425）基于所计算的最终中心值与中心像素的值之间的差异来去除故障像素。
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公开(公告)号：KR1020100114343A
公开(公告)日：2010-10-25
申请号：KR1020090032832
申请日：2009-04-15
Applicant: 삼성전자주식회사
Abstract: PURPOSE: An apparatus for correcting channel sensitivity and lens shading of a photographed image, and a method thereof are provided to enhance the accuracy of correction by defining a channel correction function proper to a sensor. CONSTITUTION: A captured-image input unit receives a white chart and a general captured-image, and a lens shaking correction function generation and coefficient extraction unit extracts a coefficient by generating a lens shaking correction function based on the white chart captured image. A channel difference correction function generation and coefficient extraction unit extracts a coefficient by generating a channel difference correction function based on the white chart capture image. A memory stores the extracted channel difference and the lens shading correction coefficient.
Abstract translation: 目的：提供一种用于校正拍摄图像的通道灵敏度和透镜阴影的装置及其方法，其通过定义传感器适当的通道校正功能来提高校正精度。 构成：拍摄图像输入单元接收白图和一般拍摄图像，并且镜头抖动校正功能生成和系数提取单元通过基于白图捕获图像生成镜头抖动校正功能来提取系数。 信道差分校正函数生成和系数提取单元通过基于白图捕获图像生成信道差校正函数来提取系数。 存储器存储提取的频道差和镜头遮蔽校正系数。
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公开(公告)号：KR1020100052185A
公开(公告)日：2010-05-19
申请号：KR1020080111098
申请日：2008-11-10
Applicant: 삼성전자주식회사
CPC classification number: H04N5/3575 , H04N5/367 , H04N9/045 , H04N2209/046
Abstract: PURPOSE: A method of reducing image noise is provided, which reduces a noise by color channel sensitivity by calculating weighted mean value based on a color channel. CONSTITUTION: A sampler samples a pixel value within window, of which a preset size is preset at an image of image sensor(200). A mean value calculator(120) calculates the average of the pixel values. An edge discriminator(130) distinguishes a target pixel within an edge area. A light/darkness discriminator(140) distinguishes the target pixel within a bright area or a dark zone. A weight mean filter(160) applies a weight values to a neighbor pixel values. The weight mean filter calculates the average of weighted pixel values.
Abstract translation: 目的：提供一种降低图像噪声的方法，通过基于颜色通道计算加权平均值，减少颜色通道灵敏度的噪声。 构成：采样器对窗口内的像素值进行采样，其中预先设定的尺寸在图像传感器（200）的图像上。 平均值计算器（120）计算像素值的平均值。 边缘鉴别器（130）区分边缘区域内的目标像素。 亮/暗鉴别器（140）将目标像素区分在明亮区域或暗区域内。 权重均值滤波器（160）对相邻像素值应用权重值。 权重均值滤波器计算加权像素值的平均值。
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Patent Agency Ranking
公开(公告)号：KR1020110101880A
公开(公告)日：2011-09-16
申请号：KR1020100021218
申请日：2010-03-10
Applicant: 삼성전자주식회사
CPC classification number: H04N9/045 , G06T5/002 , G06T5/20 , G06T2207/10024 , G06T2207/20032 , H04N9/646
Abstract: 본 발명은 영상의 각 화소에 대해 중심 화소로부터의 거리에 따른 거리 가중치, 상기 중심 화소와의 밝기 성분 및 색상 성분의 차이에 따른 에지(edge) 가중치를 이용하여 영상의 컬러 잡음을 제거하는 장치 및 방법에 관한 것으로서, 본 발명에 따르면 밝기와 컬러 성분과의 상호 관계 및 에지의 특성을 이용하여 영상의 컬러 잡음을 효과적으로 제거할 수 있다.
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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：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：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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