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    • 1. 发明申请
    • Method and apparatus for detecting the location and luminance transition range of slant image edges
    • 用于检测倾斜图像边缘的位置和亮度转变范围的方法和装置
    • US20050163380A1
    • 2005-07-28
    • US10765529
    • 2004-01-27
    • Xianglin WangYeong-Taeg Kim
    • Xianglin WangYeong-Taeg Kim
    • G06K9/40G06T5/00G06T5/50
    • G06T5/20G06T5/003G06T7/12G06T7/74G06T2207/10016G06T2207/20012G06T2207/20192
    • A system and method that detect the location as well as the luminance transition range of slant image edge in a digital image. The variance value for the pixels inside a window in the image is calculated. Based on the variance value, a current pixel can be classified as being in an edge region or in a non-edge region. If the current pixel is in a non-edge region, no further checking is needed, otherwise binary pattern data is generated from the pixels inside the window. Then it is determined whether the current pixel is a center pixel in a luminance transition range of a slant edge based on the binary pattern data at the current pixel location and its neighboring binary pattern data. It is determined if the current pixel is the center pixel in a luminance transition range of a e.g. ±45° direction edge. If it is, then no further processing is needed at the current pixel location and the luminance transition range is considered as 3 pixels wide. Otherwise, based on the neighboring binary pattern data, another checking process is performed to determine whether the current pixel is a center pixel in a luminance transition range other than a ±45° slant edge. If the current pixel is considered as a center pixel in a luminance transition range other than a ±45° slant edge, then the length of the luminance transition range of the slant edge is determined by checking more binary pattern data inside the window.
    • 检测数字图像中倾斜图像边缘的位置以及亮度转变范围的系统和方法。 计算图像中窗口内的像素的方差值。 基于方差值,当前像素可以分类为边缘区域或非边缘区域。 如果当前像素处于非边缘区域,则不需要进一步检查,否则从窗口内的像素生成二进制图案数据。 然后,基于当前像素位置处的二进制图案数据及其相邻二进制图案数据,确定当前像素是否是倾斜边缘的亮度转变范围中的中心像素。 确定当前像素是否是例如像素的亮度转变范围中的中心像素。 ±45°方向边缘。 如果是,则在当前像素位置处不需要进一步的处理,并且亮度转变范围被认为是3像素宽。 否则,基于相邻二进制图案数据,执行另一检查处理,以确定当前像素是否是±45°倾斜边缘以外的亮度转变范围中的中心像素。 如果当前像素被认为是除±45°倾斜边缘之外的亮度转变范围中的中心像素,则通过检查窗口内的更多二进制图案数据来确定倾斜边缘的亮度转变范围的长度。
    • 5. 发明授权
    • Method of edge direction detection based on the correlation between pixels of a vector and an edge direction detection system
    • 基于向量和边缘方向检测系统的像素之间的相关性的边缘方向检测方法
    • US07474789B2
    • 2009-01-06
    • US11387482
    • 2006-03-22
    • Xianglin WangYeong-Taeg Kim
    • Xianglin WangYeong-Taeg Kim
    • G06K9/48H04N7/01
    • H04N7/012G06T3/403G06T7/12G06T7/74G06T2207/10016
    • A method for edge direction detection at a selected pixel on a center-line between two lines of an image includes defining two vectors using certain pixels on the two lines. A vector norm is defined which gives an indication of the correlation of between pixels of one vector and pixels of the other vector. If a vertical vector norm value indicates a low correlation in the vertical direction, then it can be assumed that the selected pixel is in a non-vertical edge area. Vector norm values associated with small angles from the vertical direction are used to determine candidate directions for the non-vertical edge. If a candidate direction is verified as being a preferred direction, then a direction-fine tuning process is performed in which vector norm values associated with big angles from the vertical direction are calculated in order to find a more accurate direction for the non-vertical edge.
    • 在图像的两行之间的中心线上的选定像素处的边缘方向检测的方法包括使用两条线上的某些像素定义两个向量。 定义了向量范数,其给出了一个向量的像素与另一个矢量的像素之间的相关性的指示。 如果垂直矢量范数值表示垂直方向上的低相关性,则可以假设所选择的像素处于非垂直边缘区域。 使用与垂直方向的小角度相关联的矢量范数值来确定非垂直边缘的候选方向。 如果候选方向被验证为优选方向,则执行方向微调处理,其中计算与垂直方向的大角度相关联的向量范数值,以便为非垂直边缘找到更准确的方向 。
    • 7. 发明授权
    • Image detail enhancement system
    • 图像细节增强系统
    • US07110044B2
    • 2006-09-19
    • US10402280
    • 2003-03-27
    • Xianglin WangYeong-Taeg Kim
    • Xianglin WangYeong-Taeg Kim
    • H04N5/20
    • H04N5/205
    • A detail enhancement system uses a detail filter bank including multiple detail filters covering different frequency ranges. An input video signal representing a digital image is processed in the detail filter, wherein detail signals are extracted by the detail filters at different frequency ranges. Shoot suppression blocks and coring blocks are provided for each detail filter to prevent overshoot/undershoot artifacts and small ringing artifacts, respectively. The overall detail signal is amplitude scaled, and added back to the input signal as an enhancement, to generate a detail enhanced output signal.
    • 细节增强系统使用细节滤波器组,其包括覆盖不同频率范围的多个细节滤波器。 表示数字图像的输入视频信号在细节滤波器中被处理,其中由不同频率范围的细节滤波器提取细节信号。 为每个细节过滤器提供拍摄抑制块和取芯块,以分别防止过冲/下冲伪像和小的振铃伪影。 总体细节信号被幅度缩放,并作为增强加回到输入信号,以产生细节增强的输出信号。
    • 8. 发明授权
    • Method and apparatus for shoot suppression in image detail enhancement
    • 图像细节增强中拍摄抑制的方法和装置
    • US07813587B2
    • 2010-10-12
    • US11799230
    • 2007-04-30
    • Xianglin WangYeong-Taeg Kim
    • Xianglin WangYeong-Taeg Kim
    • G06K9/40
    • G06T5/004G06T5/20H04N1/4092
    • A general shoot suppression method and system for image detail enhancement that provides good suppression in shoot areas while preserving the enhancement (with less or no suppression) in non-shoot areas. Asymmetry checker checks the luminance variation of pixels around the current pixel within a filtering range. Based on the checking result, different patterns of luminance variation in the neighborhood of the current pixel are categorized. Higher suppression is applied to those patterns that are more likely to cause overshoot/undershoot. Optionally, suppression is further associated with the intensity of detail signal at each pixel position. An intensity checker checks the magnitude of the detail signal. If the detail signal is weak at a current pixel position, it is unlikely that obvious shoot artifacts appear at that position, and little or no suppression is applied. Such a method and system provide shoot suppression only in shoot areas while maintaining good enhancement in non-shoot areas.
    • 用于图像细节增强的通用拍摄抑制方法和系统,其在拍摄区域中提供良好的抑制,同时在非拍摄区域中保持增强(具有较少或不抑制)。 不对称检查器检查滤波范围内当前像素周围的像素的亮度变化。 基于检查结果,对当前像素附近的亮度变化的不同图案进行分类。 对更可能引起过冲/下冲的模式应用较高的抑制。 可选地,抑制还与每个像素位置处的细节信号的强度相关联。 强度检查器检查细节信号的大小。 如果细节信号在当前像素位置较弱,则不太可能在该位置出现明显的伪像,并且很少或不施加抑制。 这种方法和系统仅在拍摄区域中提供拍摄抑制,同时保持非拍摄区域的良好增强。
    • 9. 发明授权
    • Edge direction based image interpolation method
    • 基于边缘方向的图像插值方法
    • US07590307B2
    • 2009-09-15
    • US11869317
    • 2007-10-09
    • Xianglin WangYeong-Taeg Kim
    • Xianglin WangYeong-Taeg Kim
    • G06K9/32H04N7/01G09G5/00
    • G06T3/403G06T7/13G06T2207/10016
    • A method for interpolating pixel data of an omitted line by use of pixel data from an interlaced scan, for de-interlacing an interlaced video image. Image edge direction is detected at the center position of every two neighboring scan lines in an interlaced scan. All the directions detected in a given field constitute an edge orientation map. Edge directions are filtered to remove false and unreliable edge directions from the edge orientation map. If an edge direction is removed, the vertical edge direction is used to replace that direction in the edge orientation map. For interpolating a new pixel at the center of two neighboring scan lines, the corresponding direction for that position is used as the interpolation direction to calculate the value of the new pixel. If the direction is vertical, a filter is used along the vertical direction to calculate the interpolation value. If the direction is non-vertical, and has an integer value, then interpolation is performed by taking the average of the two neighboring sample values along the direction. If the direction is non-vertical and has a non-integer value, then an interpolation value is calculated using a directional bilinear method.
    • 一种用于通过使用来自隔行扫描的像素数据来内插被省略的行的像素数据的方法,用于对交错的视频图像进行去隔行扫描。 在隔行扫描中每两个相邻扫描线的中心位置处检测图像边缘方向。 在给定字段中检测到的所有方向都构成边缘方向图。 边缘方向被过滤以从边缘方向图去除虚假和不可靠的边缘方向。 如果去除边缘方向,则使用垂直边缘方向来替换边缘方向图中的该方向。 为了在两个相邻扫描线的中心内插新像素,将该位置的相应方向用作插值方向以计算新像素的值。 如果方向为垂直方向,则沿着垂直方向使用滤波器来计算插补值。 如果方向是非垂直方向,并且具有整数值,则通过沿方向取两个相邻采样值的平均值来执行插值。 如果方向是非垂直方向并且具有非整数值,则使用定向双线性方法计算内插值。