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公开(公告)号：KR101661215B1
公开(公告)日：2016-09-30
申请号：KR1020100078856
申请日：2010-08-16
Applicant: 삼성전자주식회사 , 서강대학교산학협력단
CPC classification number: H04N5/2355 , G06T5/008 , G06T5/50 , G06T2207/10144
Abstract: 본발명의실시예에따르면, 노출정도가다른적어도하나이상의로우다이나믹레인지영상들을포화영역, 저포화영역및 비포화영역으로구별하고상기비포화영역의패턴이얼마나유사한지나타내는특징맵들을생성한후 움직임화소및 정지화소를포함하는최종특징맵들을도출하여상기최종특징맵들과상기로우다이나믹레인지영상들을비교하여상기로우다이나믹레인지영상들에포함된움직임영역및 정지영역을정의하고정의된상기움직임영역에제1잡음제거필터를사용하고, 정의된상기정지영역에제2잡음제거필터를사용하여잡음을제거한후 잡음이제거된상기움직임영역의가중치를잡음이제거된상기정지영역의가중치보다낮게하여상기로우다이나믹레인지영상들에대응되는레디언스맵을생성하는영상처리장치및 영상처리방법을제공한다.
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公开(公告)号：KR101551690B1
公开(公告)日：2015-09-09
申请号：KR1020090057723
申请日：2009-06-26
Applicant: 삼성전자주식회사 , 서강대학교산학협력단
CPC classification number: H04N5/235 , G06T5/50 , G06T2207/20208 , H04N5/2355
Abstract: 본발명은다이나믹레인지가넓으면서도계조가우수한이미지에관한데이터를획득할수 있는디지털촬영장치, 그제어방법및 이를실행하기위한프로그램을저장한기록매체를위하여, (i) 노출이상이하도록노출을증가시키며제1이미지데이터내지제P이미지데이터를획득하는촬상소자와, (ii) 제j이미지데이터에있어서, i번째화소가제1레벨내지제N레벨의 N개의레벨중 어느한 레벨에속하도록휘도에따라분류하여 i번째화소에 i번째화소가속하는레벨인레벨값 L를부여하되각 레벨에속하는화소들의개수가균등하도록모든화소들을분류하며, 제1이미지데이터내지제P이미지데이터각각에대해분류하는멀티레벨문턱맵생성부와, (iii) 제1이미지데이터내지제P이미지데이터중 적정노출에서획득한이미지데이터를제R이미지데이터라할 시, 제j이미지데이터의 i번째화소에부과되는움직임데이터 M를획득하되, 제1이미지데이터내지제P이미지데이터각각의모든화소에부과되는움직임데이터를획득하는움직임데이터획득부와, (iv) 제j이미지데이터의 i번째화소에부과되는제1가중치데이터 ME를획득하되, 제1이미지데이터내지제P이미지데이터각각의모든화소에부과되는제1가중치데이터를획득하는제1가중치데이터획득부와, (v) 제1가중치데이터 ME를부가하여제1이미지데이터내지제P이미지데이터의 i번째화소들의데이터를합성하여최종이미지데이터의 i번째화소의데이터를획득함으로써, 최종이미지데이터의화소들의데이터를획득하는최종이미지데이터획득부를구비하는것을특징으로하는디지털촬영장치를제공한다.
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公开(公告)号：KR1020130031572A
公开(公告)日：2013-03-29
申请号：KR1020110095232
申请日：2011-09-21
Applicant: 삼성전자주식회사 , 서강대학교산학협력단
CPC classification number: H04N5/213 , G06T5/002 , G06T5/20 , G06T2207/20028 , G06T2207/20032 , H04N5/217 , H04N9/646 , H04N5/208
Abstract: PURPOSE: An image processing method and device are provided to eliminate noise of an image generated in general environment, low level light environment, and high sensitivity environment. CONSTITUTION: An RGB input image signal is converted into a YCbCr input image signal(610). The YCbCr input image signal is divided into a low frequency component which a high frequency component and noise are eliminated(620). The noise of the divided high frequency component is eliminated(630). The high frequency component which the divided low frequency component and the noise are eliminated is combined(640). An input image comprises a luminance component and a chrominance component. [Reference numerals] (610) Converting an RGB input image signal into a YCbCr input image signal; (620) Dividing the YCbCr input image signal into a high frequency component and a low frequency component in which noise is eliminated; (630) Eliminating the noise of the divided high frequency component; (640) Combining the divided low frequency component and the high frequency without noise; (AA) Start; (BB) End
Abstract translation: 目的：提供一种图像处理方法和装置，以消除在一般环境，低水平光环境和高灵敏度环境下产生的图像的噪声。 构成：将RGB输入图像信号转换为YCbCr输入图像信号（610）。 YCbCr输入图像信号被分为高频分量和噪声消除的低频分量（620）。 消除了分频高频分量的噪声（630）。 将分频低频分量和噪声消除的高频分量组合（640）。 输入图像包括亮度分量和色度分量。 （610）将RGB输入图像信号转换为YCbCr输入图像信号; （620）将YCbCr输入图像信号分割为消除噪声的高频分量和低频分量; （630）消除分频高频分量的噪声; （640）组合分频低频分量与高频无噪声; （AA）开始; （BB）结束
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公开(公告)号：KR1020120016475A
公开(公告)日：2012-02-24
申请号：KR1020100078855
申请日：2010-08-16
Applicant: 삼성전자주식회사 , 서강대학교산학협력단
CPC classification number: H04N1/4092 , G06T5/009 , G06T5/20 , G06T2207/10024 , G06T2207/10144 , G06T2207/20192 , G06T2207/20208 , G06T2207/20221 , H04N1/58 , H04N5/2355
Abstract: PURPOSE: An image processing method and an image processing device are provided to obtain an image with corrected lightness. CONSTITUTION: A first image extracting unit(123) uses an edge-preserving smoothing filter in a radiance map. The first image extracting unit extracts an image whose edge part is preserved or flat part is smoothed. A second image extracting unit(125) applies a correction curve to a first image. The second image extracting unit extracts a second image with a dynamic range that a user visually recognizes. A display image extracting unit(127) adjusts the hue value and chroma values of the second image. The display image extracting unit extracts an image with corrected image.
Abstract translation: 目的：提供一种图像处理方法和图像处理装置，以获得具有校正亮度的图像。 构成：第一图像提取单元（123）在辐射图中使用边缘保持平滑滤波器。 第一图像提取单元提取其边缘部分保留的图像或平坦部分被平滑的图像。 第二图像提取单元（125）对第一图像应用校正曲线。 第二图像提取单元以用户可视识别的动态范围提取第二图像。 显示图像提取单元（127）调节第二图像的色调值和色度值。 显示图像提取单元提取具有校正图像的图像。
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公开(公告)号：KR1020100084458A
公开(公告)日：2010-07-26
申请号：KR1020090098876
申请日：2009-10-16
Applicant: 삼성전자주식회사 , 서강대학교산학협력단
CPC classification number: G06T3/4015 , G06T7/13 , G06T2207/10024
Abstract: PURPOSE: An image interpolating method using pattern characteristics of a color filter array and an apparatus thereof are provided to detect an edge direction from DAID(Differences of Absolute Inter-channel Differences) in consideration of properties of CFA, thereby directly interpolating three kinds of color pixel values from a CFA image along with the edge direction. CONSTITUTION: An edge direction detector(110) calculates difference values between absolute channels based on a central pixel according to pattern properties of R,G,B pixels arranged in a color filter array. An edge direction is detected using the calculated difference values. A weight calculator(120) calculates a directional weight according to the pattern properties of the R,G,B pixels. An interpolator(130) interpolates a unknown pixel using the color difference values and the calculated directional weight value in the detected edge direction.
Abstract translation: 目的：提供一种使用滤色器阵列的图案特性的图像内插方法及其装置，用于根据CFA的性质从DAID（绝对的信道间差异）检测边缘方向，从而直接内插三种颜色 来自CFA图像的像素值以及边缘方向。 构成：边缘方向检测器（110）根据布置在滤色器阵列中的R，G，B像素的图案特性，基于中心像素来计算绝对通道之间的差值。 使用计算的差值检测边缘方向。 权重计算器（120）根据R，G，B像素的图案特性来计算方向权重。 插值器（130）使用所检测的边缘方向上的色差值和计算出的方向权重值内插未知像素。
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Patent Agency Ranking
公开(公告)号：KR1020130031573A
公开(公告)日：2013-03-29
申请号：KR1020110095233
申请日：2011-09-21
Applicant: 삼성전자주식회사 , 서강대학교산학협력단
CPC classification number: G06K9/40 , G06T5/002 , G06T2207/20064 , G06T2207/20192 , H04N1/58 , H04N5/217 , H04N9/045
Abstract: PURPOSE: An image processing method and device are provided to generate an image which color noise is excellent and maintain an edge component in general environment, low level light environment, and high sensitivity environment. CONSTITUTION: An RGB input image single is converted into a YCbCr input image signal(800). The YCbCr input image signal is divided into a luminance signal and a chrominance signal(810). After noise is eliminated from the divided luminance signal, a luminance signal existed in the noise is restored(820). Noise is eliminated from the chrominance signal(830). An image, which final noise is eliminated, is outputted by combining the luminance signal with the chrominance signal which the final noise is eliminated(840). [Reference numerals] (800) Converting an RGB input image single into a YCbCr input image signal; (810) Dividing the YCbCr input image signal into a luminance signal and a chrominance signal; (820) Eliminating noise from the divided luminance signal and restoring the luminance signal existed in the noise; (830) Eliminating the noise of the divided chrominance signal; (840) Outputting an image signal without final noise by combining the luminance signal with the chrominance signal in which the noise is eliminated; (AA) Start; (BB) End
Abstract translation: 目的：提供一种图像处理方法和装置，以产生颜色噪声优异并且在一般环境中保持边缘分量，低水平光环境和高灵敏度环境的图像。 构成：将RGB输入图像单个转换为YCbCr输入图像信号（800）。 YCbCr输入图像信号被分为亮度信号和色度信号（810）。 从划分的亮度信号中消除噪声后，存在噪声中存在的亮度信号（820）。 从色度信号中消除噪声（830）。 通过组合亮度信号和消除最终噪声的色度信号来输出消除最终噪声的图像（840）。 （附图标记）（800）将RGB输入图像单个转换为YCbCr输入图像信号; （810）将YCbCr输入图像信号分割成亮度信号和色度信号; （820）从划分的亮度信号中消除噪声并恢复噪声中存在的亮度信号; （830）消除分频色度信号的噪声; （840）通过将亮度信号与消除噪声的色度信号组合而输出没有最终噪声的图像信号; （AA）开始; （BB）结束
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公开(公告)号：KR101637488B1
公开(公告)日：2016-07-07
申请号：KR1020090098876
申请日：2009-10-16
Applicant: 삼성전자주식회사 , 서강대학교산학협력단
Abstract: 본발명은이미지보간방법및 장치에관한것으로, 본발명의일 실시예에따른이미지보간방법은 CFA 이미지로부터수평/수직절대채널간차이를계산하고, R, G, B의 DAIDs를고려하여추정된수평/수직방향을따라보간함으로써, 피크신호대잡음비(PSNR) 및구조적유사도(SSIM)가크고, 시각적품질도뛰어난효과가있다.
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公开(公告)号：KR1020120114899A
公开(公告)日：2012-10-17
申请号：KR1020110032727
申请日：2011-04-08
Applicant: 삼성전자주식회사 , 서강대학교산학협력단
CPC classification number: G06T5/009 , G06T2207/20208 , H04N5/2355 , G06T5/50 , H04N5/235 , H04N5/355
Abstract: PURPOSE: An image processing method and an image processing device are provided to obtain a display image with local contrast and details by adaptive tone mapping. CONSTITUTION: A radiance map providing unit(121) provides a radiance map. An image decomposing unit(123) decomposes a luminance value of the radiance map into a base layer and a detail layer. An adaptive weight generating unit(124) generates a weighted value. A dynamic range compressing unit(125) generates a compression luminance. An adaptive tone mapping unit(126) generates a tone mapping image. [Reference numerals] (121) Radiance map providing unit; (122) Luminance calculating unit; (123) Image decomposing unit; (124) Adaptive weight generating unit; (125) Dynamic range compressing unit; (126) Adaptive tone mapping unit
Abstract translation: 目的：提供一种图像处理方法和图像处理装置，以通过自适应色调映射获得具有局部对比度和细节的显示图像。 构成：辐射图提供单元（121）提供辐射图。 图像分解单元（123）将辐射图的亮度值分解为基本层和细节层。 自适应权重生成单元（124）生成加权值。 动态范围压缩单元（125）产生压缩亮度。 自适应色调映射单元（126）产生色调映射图像。 （附图标记）（121）辐射图提供单元; （122）亮度计算单元; （123）图像分解单元; （124）自适应权重发生单元; （125）动态范围压缩单元; （126）自适应色调映射单元
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公开(公告)号：KR101828411B1
公开(公告)日：2018-02-13
申请号：KR1020110095233
申请日：2011-09-21
Applicant: 삼성전자주식회사 , 서강대학교산학협력단
CPC classification number: G06K9/40 , G06T5/002 , G06T2207/20064 , G06T2207/20192 , H04N1/58 , H04N5/217 , H04N9/045
Abstract: 본발명은영상내에서잡음을제거하는영상처리방법및 영상처리장치에관한것이다. 영상처리방법은입력영상을휘도신호및 색차신호로분리하는단계; 상기분리된휘도신호의잡음을제거하고, 상기제거된잡음내에존재하는상기휘도신호를복원하는단계; 상기분리된색차신호의잡음을제거하는단계; 및상기잡음이제거된휘도신호및 색차신호를결합하는단계를포함한다. 본발명에따르면, 잡음의세기가심한저조도, 고감도환경뿐만아니라일반환경에서도에지성분이잘 보존되면서컬러잡음정도가우수한영상을생성할수 있다.
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公开(公告)号：KR101700362B1
公开(公告)日：2017-01-31
申请号：KR1020100078855
申请日：2010-08-16
Applicant: 삼성전자주식회사 , 서강대학교산학협력단
CPC classification number: H04N1/4092 , G06T5/009 , G06T5/20 , G06T2207/10024 , G06T2207/10144 , G06T2207/20192 , G06T2207/20208 , G06T2207/20221 , H04N1/58 , H04N5/2355
Abstract: 본발명의실시예에따르면, 레디언스맵을제공하는단계; 상기레디언스맵에에지보존스무딩필터를적용하여에지부분을보존되나, 평탄부분은스무딩된제1영상을도출하는단계; 상기제1영상에보정커브를적용하여시각적으로인지할수 있는다이나믹레인지를가진제2영상을도출하는단계; 및상기제2영상의휴값및 크로마값을조절하여라이트니스를보정한디스플레이영상을도출하는단계; 를포함하는영상처리방을통해지역적및 전역적대비를보존하여, 라이트니스가크더라도색조및 채도가선명한영상을얻을수 있다.
Abstract translation: 一种图像处理方法包括：提供辐射图，生成其中保留边缘部分的第一图像，并通过将边缘保存平滑滤波器应用于辐射图来平滑平坦部分，生成具有视觉可感知动态的第二图像 通过对第一图像应用校正曲线，并且通过调节第二图像的色调值和色度值来生成具有校正亮度的显示图像。
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