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公开(公告)号:KR1020010019448A
公开(公告)日:2001-03-15
申请号:KR1019990035846
申请日:1999-08-27
CPC classification number: H04N19/176 , H04N19/124 , H04N19/513 , H04N19/625
Abstract: PURPOSE: An image data segmentation method and a device thereof are provided so that an interesting section of the image data can have relatively good image quality, by extracting time and space properties of the image data, segmenting an object and background thereof, and applying different quantization variables to the object and background. CONSTITUTION: In a time property extraction process, motion vectors are obtained by motion-estimating an image data in block units, and a dynamic block having a motion vector which is not zero is obtained(22). In a space property extraction process, the dynamic block and the image data are discrete cosine transformed in block units, and a space property including DCT coefficients is obtained in the respective blocks(24). In a segmentation process, a moving object and background of the image data are segmented by using the space property including the motion vectors and the DCT coefficients(26). Thereafter, in a quantization process, different quantization variables are applied to the object and background of the image data segmented in the segmentation process(28). Accordingly, the object and background of the image data are segmented by using the time and space properties of the image data, and are provided with different quantization variables.
Abstract translation: 目的:提供一种图像数据分割方法及其装置,通过提取图像数据的时间和空间属性,分割对象和背景,并且应用不同的图像数据,使图像数据的有趣部分具有相对较好的图像质量 量化变量到对象和背景。 构成:在时间属性提取处理中,通过以块为单位对图像数据进行运动估计而获得运动矢量,并且获得具有不为零的运动矢量的动态块(22)。 在空间属性提取处理中,动态块和图像数据以块为单位进行离散余弦变换,在各块(24)中获得包含DCT系数的空间属性。 在分割处理中,通过使用包括运动矢量和DCT系数的空间属性来分割图像数据的运动对象和背景(26)。 此后,在量化处理中,将不同的量化变量应用于在分割处理(28)中分割的图像数据的对象和背景。 因此,通过使用图像数据的时间和空间属性来分割图像数据的对象和背景,并且提供不同的量化变量。
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公开(公告)号:KR1020000012878A
公开(公告)日:2000-03-06
申请号:KR1019980031431
申请日:1998-08-01
IPC: H04N19/82
CPC classification number: H04N19/82 , H04N19/103 , H04N19/436 , H04N19/625
Abstract: PURPOSE: A loop filtering method and apparatus of image data capable of performing a low bit rate coding and a simple calculation to reduce quantization efficiency are provided. CONSTITUTION: A loop filtering method for reducing quantization efficiency generated in encoding and decoding image data, the method comprising the steps of: extracting a flag indicating whether a loop filtering is necessary by using a distribution of a reverse quantization coefficient of reverse-quantified image data and a moving vector indicating a difference between a previous frame and a current frame; filtering image data corresponding to the flag by means of a predetermined method when the loop filtering is necessary.
Abstract translation: 目的:提供一种能够执行低比特率编码和简单计算以降低量化效率的图像数据的环路滤波方法和装置。 构成:用于降低编码和解码图像数据时产生的量化效率的环路滤波方法,所述方法包括以下步骤:通过使用反向量化图像数据的反量化系数的分布来提取指示是否需要环路滤波的标志 以及指示前一帧和当前帧之间的差的移动矢量; 当需要循环滤波时,通过预定方法对与标志相对应的图像数据进行滤波。
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公开(公告)号:KR1020200087117A
公开(公告)日:2020-07-20
申请号:KR1020200085271
申请日:2020-07-10
IPC: H04N19/137 , H04N19/51 , H04N19/513 , H04N19/70 , H04N19/52 , H04N19/176 , H04N19/593
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公开(公告)号:KR102132409B1
公开(公告)日:2020-07-09
申请号:KR1020190091086
申请日:2019-07-26
IPC: H04N19/137 , H04N19/51 , H04N19/513 , H04N19/70 , H04N19/52 , H04N19/176 , H04N19/593
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公开(公告)号:KR101923184B1
公开(公告)日:2018-11-28
申请号:KR1020170108136
申请日:2017-08-25
Abstract: 본개시는기계학습알고리즘을활용하는인공지능(AI) 시스템및 그응용에관련된것이다. 보다구체적으로, 본개시는자기공명영상획득가속화를위한영상복원방법에있어서, 서브샘플링된자기공명영상의데이터를획득하는단계; 적어도하나의뉴럴네트워크(neural network)를이용한학습모델에기초하여, 상기서브샘플링된자기공명영상의데이터의위상인코딩방향에대응되는적어도한 줄의픽셀들에대한복원데이터를획득하는단계; 및상기획득된복원데이터를이용하여상기서브샘플링된자기공명영상에대한복원영상을획득하는단계를포함하는영상복원방법을개시한다.
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公开(公告)号:KR101836235B1
公开(公告)日:2018-03-08
申请号:KR1020160065340
申请日:2016-05-27
Applicant: 한국과학기술원
IPC: A61B5/055
CPC classification number: A61B5/055
Abstract: 병렬영상복원법을이용한자기공명영상생성방법및 자기공명영상장치를 개시한다. 본실시예의일 실시예에의하면, 복수의채널로자기공명신호를수신하는수신코일; 상기각 채널별로수신된자기공명신호에따른 k-공간데이터에, 일정방향에대해변환하여채널별하이브리드-공간데이터(hybrid-space data)를생성하는영상정보획득부; 및상기채널별하이브리드-공간데이터에단위윈도우를슬라이딩하여, 상기윈도우에해당하는영역에병렬영상복원법(parallel imaging method)을적용하는영상처리부를포함하는자기공명영상장치를제공한다.
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公开(公告)号:KR101819908B1
公开(公告)日:2018-01-18
申请号:KR1020160065302
申请日:2016-05-27
Applicant: 한국과학기술원
IPC: A61B5/055 , G01R33/483 , G01R33/561 , G01R33/00
CPC classification number: G01R33/3852 , G01R33/387 , G01R33/482 , G01R33/4824 , G01R33/4835 , G01R33/5611
Abstract: 자기공명영상생성방법및 그를위한장치를개시한다. 대상체의복수의슬라이스에게공간부호화경사자장및 방사형샘플링을적용하기위한보정경사자장을인가하고, 방사형샘플링된자기공명신호를수신하여멀티밴드상에서방사형샘플링이적용된자기공명영상생성방법및 그를위한장치에관한것이다.
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公开(公告)号:KR1020160071230A
公开(公告)日:2016-06-21
申请号:KR1020140178711
申请日:2014-12-11
CPC classification number: G01R33/4835 , G01R33/5608 , G01R33/5611 , A61B5/055 , A61B5/0033
Abstract: 복수의슬라이스에게공간부호화경사자장(spatial encoding gradient)을인가하고, 상기복수의슬라이스에게제 1 방향의경사자장을인가하는경사자장제어부; 상기제 1 방향과상이한제 2 방향으로언더샘플링(undersampling)된상기복수의슬라이스의자기공명신호를수신하는 RF 수신부; 및상기복수의슬라이스의자기공명신호에기초하여, 상기복수의슬라이스에포함된각 슬라이스의자기공명영상을생성하는영상처리부;를포함하는자기공명영상장치가개시된다.
Abstract translation: 本发明涉及一种具有减小的扫描时间和改善的信噪比的磁共振成像装置。 磁共振成像装置包括:梯度控制单元,用于将空间编码梯度应用于多个切片,并将第一方向梯度应用于多个切片; RF接收器,用于接收在与第一方向不同的第二方向上欠采样的多个片的磁共振信号; 以及图像处理单元,用于基于所述多个切片的磁共振信号来创建包括在所述多个切片中的每个切片的磁共振图像。
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公开(公告)号:KR101601011B1
公开(公告)日:2016-03-08
申请号:KR1020140109963
申请日:2014-08-22
IPC: A61B5/055 , A61B5/026 , G01R33/563
CPC classification number: A61B5/0263 , A61B5/055 , A61B5/7203 , G01R33/563 , G06T2207/10096 , G06T2207/30104
Abstract: 본개시는의료영상장치가혈류속도를산출하는방법에관한것으로, 본개시에따른의료영상장치에서혈류속도를산출하는방법은, 제1 이극성경사자장(bipolar gradient)이인가된제1 이미징슬랩(imaging slab)의제1 슬랩데이터를획득하는단계; 제1 이미징슬랩의위치로부터기 설정된방향으로이동된위치에서, 제2 이극성경사자장이인가된제2 이미징슬랩의제2 슬랩데이터를획득하는단계; 및제1 슬랩데이터및 제2 슬랩데이터중 대상체상의동일한위치에대응되는슬라이스에포함되는데이터에기초하여, 혈류속도를계산하는단계;를포함할수 있다.
Abstract translation: 本公开涉及一种通过医学成像装置测量血流速度的方法。 根据本公开的由医学成像装置测量血流速度的方法包括:获得施加了第一双极梯度的第一成像板的第一板数据的步骤; 获得施加第二双极性梯度的第二成像板的第二板坯数据的步骤,将第二成像板坯移动到从设置方向从第一成像板坯的位置移动的位置; 以及基于包括在第一平板数据的切片中的数据和第二平板数据的切片来测量血流速度的步骤,在与第一平板数据的第二平板数据的切片相同的位置上对应的第一平板数据的切片 目的。
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