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    • 5. 发明授权
    • Method for segmenting and estimating a moving object motion
    • 分割和估计移动物体运动的方法
    • US5748761A
    • 1998-05-05
    • US502229
    • 1995-07-13
    • Gyu-Hwan ChangHae-Mook JungSeong-Dae KimJae-Gark ChoiSi-Woong Lee
    • Gyu-Hwan ChangHae-Mook JungSeong-Dae KimJae-Gark ChoiSi-Woong Lee
    • H04N19/105H04N7/24H04N19/134H04N19/136H04N19/137H04N19/139H04N19/167H04N19/176H04N19/189H04N19/192H04N19/196H04N19/20H04N19/50H04N19/503H04N19/51H04N19/513H04N19/533H04N19/537H04N19/56H04N19/57G06T7/20
    • H04N19/543H04N19/20
    • A method for use in an object-oriented analysis-synthesis coder, for segmenting an image of a current frame into moving objects and describing each motion of the moving objects with a set of motion parameters, which comprises the steps of: (a) comparing the current frame with a preceding frame to detect a motion vector field; (b) sliding window blocks on the motion vector field, and computing the degree of homogeneity for each of the window blocks to produce a seed block; (c) determining a set of initial values for the set of motion parameters based on the seed block; (d) evaluating whether each motion vector contained in and around the seed block is describable with the set of initial values or not, to thereby detect a revised region; (e) determining a set of revised values for the set of motion parameters from the revised region; (f) evaluating whether each motion vector contained in and around the revised region is describable with the set of revised values or not, to thereby detect a newly revised region; and (g) repeating the steps (e) and (f) until the difference between a current revised region and a previous revised region is less than a predetermined value, to thereby determine a set of final values for the set of motion parameters.
    • 一种在面向对象分析合成编码器中使用的方法,用于将当前帧的图像分割成运动对象,并用一组运动参数描述运动对象的每个运动,其包括以下步骤:(a)比较 当前帧具有前一帧以检测运动矢量场; (b)在运动矢量场上滑动窗口块,并且计算每个窗口块的均匀度以产生种子块; (c)基于所述种子块确定所述一组运动参数的一组初始值; (d)评估包含在种子块内和周围的每个运动矢量是否可以用初始值的集合来描述,从而检测修正的区域; (e)从经修订的区域确定一组运动参数的修正值; (f)评估修改后区域内及其周围的每个运动矢量是否可以用一组修订值进行描述,从而检测新修订的区域; 和(g)重复步骤(e)和(f),直到当前修订区域和先前修订区域之间的差值小于预定值,从而确定该组运动参数的一组最终值。
    • 7. 发明授权
    • Method for the motion adaptive spatial filtering of video signals in an
image coding apparatus
    • 图像编码装置中视频信号的运动自适应空间滤波方法
    • US5502489A
    • 1996-03-26
    • US176794
    • 1994-01-03
    • Jong-Hun KimSeong-Dae Kim
    • Jong-Hun KimSeong-Dae Kim
    • H04N7/12H04N7/26H04N7/18
    • H04N19/80H04N7/122
    • The present invention is a motion adaptive spatial filtering(MASF) method for use with a image coding apparatus, which proceeds the temporal band-limitation of the video frame signals on spatial domain along the trajectory of a moving component without temporal aliasing by using a filter having a band-limitation characteristic according to a cutoff frequency. It is well known that video signal may contain a lot of temporal aliasing components because of insufficient frame sampling rate. And it is impossible to design band-limiting temporal filter simply by convolving a sequence of frames along the temporal direction. From a signal processing point of view, the aliasing degrades filter characteristics. This filtering method takes advantage of the fact that, if motion of each pixel is known, the temporal filtering can be performed in the spatial domain filtering along its trajectory. That results in de-aliasing characteristic.
    • 本发明是一种与图像编码装置一起使用的运动自适应空间滤波(MASF)方法,其通过使用滤波器沿着运动分量的轨迹在空间域上进行视频帧信号的时间带限,而没有时间混叠 具有根据截止频率的频带限制特性。 众所周知,由于帧采样率不足,视频信号可能包含大量的时间混叠分量。 简单地通过沿着时间方向卷积帧序列来设计带限制时间滤波是不可能的。 从信号处理的角度来看,混叠降低了滤波器特性。 这种滤波方法利用了如下事实:如果每个像素的运动是已知的,则可以沿着其轨迹在空间域滤波中执行时间滤波。 这导致去锯齿特性。
    • 9. 发明授权
    • Method of performing robust auto white balance
    • 执行强劲自动白平衡的方法
    • US07949185B2
    • 2011-05-24
    • US11936235
    • 2007-11-07
    • Seong Dae KimSu Jeong KimJeong Woo Hwang
    • Seong Dae KimSu Jeong KimJeong Woo Hwang
    • G06K9/00H04N9/73
    • H04N9/73
    • Disclosed herein is a method of performing robust white balance. The method includes a first process of dividing an input image into blocks, a second process of selecting blocks having higher color errors, and calculating average RGB values of the selected blocks, a third process of selecting a specific top percentage of bright blocks, and calculating the average RGB values of these selected blocks, a fourth process of calculating average RGB values through color clustering, a fifth process of converting the average RGB values into CIE xyY color space, a sixth process of calculating the Euclidean distances between the x and y values of standard light sources in a color space and the x and y values of the average RGB values in CIE xyY color space, and selecting an average RGB value having the shortest Euclidean distance (Ed), and a seventh process of calculating white balance gain values using the selected average RGB value, and correcting the input image using the balance gain values.
    • 本文公开了一种执行稳健白平衡的方法。 该方法包括将输入图像划分成块的第一处理,选择具有较高色差的块的第二处理,以及计算所选块的平均RGB值,选择亮块的特定最高百分比的第三处理,以及计算 这些选择的块的平均RGB值,通过颜色聚类计算平均RGB值的第四处理,将平均RGB值转换为CIE xyY色彩空间的第五处理,计算x和y值之间的欧几里得距离的第六处理 的颜色空间中的标准光源和CIE xyY色彩空间中的平均RGB值的x和y值,以及选择具有最短欧几里德距离(Ed)的平均RGB值,以及计算白平衡增益值的第七处理 使用所选择的平均RGB值,并且使用平衡增益值来校正输入图像。