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    • 71. 发明授权
    • Anti-aliased tagging using look-up table edge pixel identification
    • 使用查找表边缘像素识别的抗锯齿标签
    • US07518618B2
    • 2009-04-14
    • US11317782
    • 2005-12-23
    • Robert P. LoceBeilei XuStuart A. SchweidSon H. NguyenMichael Branciforte
    • Robert P. LoceBeilei XuStuart A. SchweidSon H. NguyenMichael Branciforte
    • G09G5/00
    • G06T11/203
    • The teachings provided herein disclose an image processing method for rendering a digital image possessing anti-aliased pixels by selecting a target pixel location within the digital image; observing a set of pixels within a pixel observation window superimposed on the digital image relative to the target pixel location; generating edge-state codes for a plurality of pairs of neighboring vectors of pixels within the pixel observation window; generating edge-identification codes from the plurality of edge-state codes using at least one look-up table; and, utilizing the edge-identification codes to select and apply to the digital image at the target pixel either anti-aliased rendering or conventional halftoning. The anti-aliasing may employ pixel signals that are high addressable and directionally biased to a particular orientation.
    • 本文提供的教导公开了一种图像处理方法,用于通过选择数字图像内的目标像素位置来渲染具有抗锯齿像素的数字图像; 观察相对于目标像素位置叠加在数字图像上的像素观察窗内的一组像素; 为所述像素观察窗口内的多个相邻像素向量对生成边缘状态代码; 使用至少一个查找表从所述多个边缘状态代码生成边缘识别码; 并且利用边缘识别码选择并应用于目标像素处的数字图像,即抗锯齿渲染或常规半色调。 抗混叠可以采用高可寻址性并且被定向偏置于特定取向的像素信号。
    • 72. 发明授权
    • Systems and methods for obtaining image shear and skew
    • 用于获得图像剪切和偏斜的系统和方法
    • US07120314B2
    • 2006-10-10
    • US10342357
    • 2003-01-15
    • Stuart A. SchweidRamesh NagarajanRoger L. Triplett
    • Stuart A. SchweidRamesh NagarajanRoger L. Triplett
    • G06K9/36H04N1/04G06K9/20
    • G06T3/608H04N1/3878
    • In a machine-fed scanner, orientation angles of edges of an image bearing substrate are obtained and used to calculate image shear and/or skew. A running weighted average of the image skew may be kept in a memory. When a skew value is obtained for a given image, it may be determined whether the skew value is within a predetermined range. If the skew value is within the predetermined range, the skew value is used to determine an image revision to compensate for the skew, and the skew value is incorporated into the running weighted average skew. If the skew value is not within the predetermined range, it is discarded and the running weighted average skew is used to determine an appropriate image skew revision. The running weighted average of the shear may also be kept in a memory. A shear value is obtained for each image, and incorporated into the running weighted average shear. Shear revision is performed based on the running weighted average shear. A determination may be made whether the shear value for a current image is within a predetermined range, and the running weighted average shear may be updated based on the shear value for the current image if the shear value for the current image is within the predetermined range.
    • 在机器馈送的扫描仪中,获得图像承载基底的边缘的取向角并用于计算图像剪切和/或偏斜。 图像偏移的运行加权平均值可以保存在存储器中。 当给定图像获得偏斜值时,可以确定偏斜值是否在预定范围内。 如果偏斜值在预定范围内,则偏斜值用于确定图像修正以补偿偏斜,并且偏斜值被合并到运行加权平均偏差中。 如果偏斜值不在预定范围内,则将其丢弃,并使用运行加权平均偏差来确定适当的图像偏斜修正。 剪切的运行加权平均值也可以保存在存储器中。 对于每个图像获得剪切值,并将其并入运行加权平均剪切。 基于运行的加权平均剪切力来进行剪切修正。 可以确定当前图像的剪切值是否在预定范围内,并且如果当前图像的剪切值在预定范围内,则可以基于当前图像的剪切值更新运行加权平均剪切 。
    • 73. 发明授权
    • Method and apparatus for determining halftone line frequency estimates using MIN/MAX detection
    • 使用MIN / MAX检测确定半色调线频率估计的方法和装置
    • US06734991B1
    • 2004-05-11
    • US09405928
    • 1999-09-24
    • Stuart A. Schweid
    • Stuart A. Schweid
    • H04N1405
    • H04N1/40075H04N1/40062
    • A method and apparatus is provided for determining a halftone line screen frequency estimate f at a pixel of interest in an image formed of a plurality of pixels arranged in a regular array of rows and columns. A first single dimensional line screen frequency estimate fH is determined based on video values of a first set of pixels in a row of pixels in the scanned image. Next, a second single dimensional line screen frequency estimate fV is determined based on video values of a second set of pixels in a column of pixels in the scanned image. A two-dimensional halftone line screen frequency estimate f is calculated at each pixel of interest based on a norm of the first single dimensional line screen frequency estimate fH and on the second single dimensional line screen frequency estimate fV. A halftone line screen angle estimate a is calculated at each pixel of interest based on an arctangent of the ratio between the first and second single dimensional line screen frequency estimates. Maxima and minima (MIN/MAX) extrema peak detection is used in fastscan and slowscan directions to determine the first and second single dimensional frequency estimates. False peak detection is prevented in the MIN/MAX detection scheme.
    • 提供了一种方法和装置,用于确定由以行和列的规则阵列排列的多个像素形成的图像中感兴趣的像素处的半色调线屏幕频率估计f。 基于扫描图像中的一行像素中的第一组像素的视频值确定第一单维线屏幕频率估计fH。 接下来,基于扫描图像中的像素列中的第二组像素的视频值来确定第二单维线屏幕频率估计fV。 基于第一单维线屏幕频率估计fH的范数和第二单维线屏幕频率估计值fV,在感兴趣的每个像素处计算二维半色调线屏幕频率估计f。 基于第一和第二单线屏幕频率估计之间的比值的反正切,在每个感兴趣的像素处计算半色调线屏幕角度估计a。 最大和最小(MIN / MAX)极值峰值检测用于快速扫描和慢扫描方向,以确定第一和第二单维频率估计。 在MIN / MAX检测方案中防止了伪峰检测。
    • 74. 发明授权
    • Image input device and method for providing scanning artifact detection
    • 用于提供扫描伪影检测的图像输入装置和方法
    • US06252680B1
    • 2001-06-26
    • US09004351
    • 1998-01-08
    • Stuart A. SchweidLeon C. Williams
    • Stuart A. SchweidLeon C. Williams
    • H04N138
    • H04N1/409H04N1/38H04N1/4097
    • A system and method which enables the location and orientation of an image to be determined without introducing scanning artifacts into the rendered image. The system utilizes a separate set of sensors on a scanning bar that are sensitive to a wavelength of light outside the range of wavelengths of the typical sensors found on the scanning bar, such as red, green, or blue. Moreover, the system includes a light source which is capable of emitting the wavelength of light that is outside this range of wavelength of light. Thus, whenever the additional set of sensors detect light, the system would determine that the light was due to a scanning artifact, such as a hole, rip, or dog ear in the original document being scanned. Furthermore, the system would include a process which measures the variations of the image signal in the fastscan and slowscan directions, as well as, the gray level of the video signal from these various measurements, the system would develop a cost value as to the certainty as whether the signal represents a scanning artifact. In such a system, the backing or cover would be embedded with a pattern which would have a predetermined variation in a fastscan direction but have little or no variation in a slowscan direction.
    • 一种使得能够确定图像的位置和方位而不将扫描伪影引入到渲染图像中的系统和方法。 该系统在扫描杆上使用对扫描条上发现的典型传感器波长范围(例如红色,绿色或蓝色)的波长波长敏感的扫描条上的一组单独的传感器。 此外,该系统包括能够发射在该波长范围之外的光的波长的光源。 因此,每当附加的传感器组检测到光时,系统将确定光是由于扫描原件造成的,例如正在扫描的原稿中的孔,裂纹或狗耳等扫描伪影。 此外,该系统将包括测量图像信号在快扫和慢扫描方向上的变化的过程以及来自这些各种测量的视频信号的灰度级,系统将产生关于确定性的成本值 作为信号是否表示扫描伪像。 在这种系统中,背衬或盖子将嵌入一种图案,该图案将在快速扫描方向上具有预定的变化,但在慢扫描方向上几乎没有或没有变化。
    • 75. 发明授权
    • Method and system for classifying a halftone pixel based on noise injected halftone frequency estimation
    • 基于噪声注入半色调频率估计对半色调像素进行分类的方法和系统
    • US06185336B2
    • 2001-02-06
    • US09159021
    • 1998-09-23
    • Raymond J. ClarkStuart A. Schweid
    • Raymond J. ClarkStuart A. Schweid
    • G06K962
    • H04N1/40062G06T7/11G06T7/168G06T2207/10016G06T2207/30176
    • A system and method electronically image process a pixel belonging to a set of digital image data with respect to a membership of the pixel in a plurality of image classes. This process uses fuzzy classification to determine a membership value for the pixel for each image classes and generates an effect tag for the pixel based on the fuzzy classification determination. The pixel is image processed based on the membership vector of the pixel. The determination of the membership value also includes the determination of the halftone frequency of the pixel. The present process injects random noise into the frequency estimate before classification to avoid having a sharp shift in the pixel classification population as the ripple in the frequency microclassifier crosses the quantization threshold.
    • 一种系统和方法电子图像处理属于一组数字图像数据的像素相对于多个图像类别中的像素的隶属度。 该过程使用模糊分类来确定每个图像类别的像素的隶属度值,并且基于模糊分类确定为像素生成效应标签。 基于像素的隶属矢量对像素进行图像处理。 隶属度值的确定还包括确定像素的半色调频率。 本方法在分类之前将随机噪声注入到频率估计中,以避免在频率微分类器中的纹波与量化阈值相交时,在像素分类群体中具有尖锐的偏移。
    • 76. 发明授权
    • Image input device and method for providing scanning artifact detection
    • 用于提供扫描伪影检测的图像输入装置和方法
    • US06122393A
    • 2000-09-19
    • US4186
    • 1998-01-08
    • Stuart A. SchweidLeon C. Williams
    • Stuart A. SchweidLeon C. Williams
    • H04N1/17H04N1/38H04N1/409G06K9/00G06K9/40H01L27/00
    • H04N1/409H04N1/38H04N1/4097
    • A system and method which enables the location and orientation of an image to be determined without introducing scanning artifacts into the rendered image. The system utilizes a separate set of sensors on a scanning bar that are sensitive to a wavelength of light outside the range of wavelengths of the typical sensors found on the scanning bar, such as red, green, or blue. Moreover, the system includes a light source which is capable of emitting the wavelength of light that is outside this range of wavelength of light. Thus, whenever the additional set of sensors detect light, the system would determine that the light was due to a scanning artifact, such as a hole, rip, or dog ear in the original document being scanned. Furthermore, the system would include a process which measures the variations of the image signal in the fastscan and slowscan directions, as well as, the gray level of the video signal from these various measurements, the system would develop a cost value as to the certainty as whether the signal represents a scanning artifact. In such a system, the backing would be embedded with a pattern which would have a predetermined variation in a fastscan direction but have little or no variation in a slowscan direction.
    • 一种使得能够确定图像的位置和方位而不将扫描伪影引入到渲染图像中的系统和方法。 该系统在扫描杆上使用对扫描条上发现的典型传感器波长范围(例如红色,绿色或蓝色)的波长波长敏感的扫描条上的一组单独的传感器。 此外,该系统包括能够发射在该波长范围之外的光的波长的光源。 因此,每当附加的传感器组检测到光时,系统将确定光是由于扫描原件造成的,例如正在扫描的原稿中的孔,裂纹或狗耳等扫描伪影。 此外,该系统将包括测量图像信号在快扫和慢扫描方向上的变化的过程以及来自这些各种测量的视频信号的灰度级,系统将产生关于确定性的成本值 作为信号是否表示扫描伪像。 在这样的系统中,背衬将被嵌入具有在快扫方向上具有预定变化但在慢扫描方向上几乎没有或没有变化的图案。