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    • 61. 发明授权
    • Image reading method and image reading apparatus
    • 图像读取方法和图像读取装置
    • US08493610B2
    • 2013-07-23
    • US12715527
    • 2010-03-02
    • Kan KitagawaMizuki Hayakawa
    • Kan KitagawaMizuki Hayakawa
    • H04N1/405
    • H04N1/40062H04N1/40075
    • This invention is made to solve the problem that the conventional method cannot correctly determine whether an original is a halftone. To solve this, a method according to this invention detects, from an original, first and second feature pixels respectively exhibiting first and second features. A first feature pixel to first feature pixel distance and second feature pixel to second feature pixel distance are calculated from neighboring first feature pixels and neighboring second feature pixels, respectively. The average of the first feature pixel to first feature pixel distance and the neighboring second feature pixel to second feature pixel distance is calculated as a feature pixel to feature pixel distance. A histogram is generated by the appearance count of only a feature pixel to feature pixel distance for which the same value successively appears. Whether the read original is a halftone is discriminated based on this histogram.
    • 本发明是为了解决传统方法不能正确地判断原稿是否为半色调的问题。 为了解决这个问题,根据本发明的方法从原件检测分别呈现第一和第二特征的第一和第二特征像素。 从相邻的第一特征像素和相邻的第二特征像素分别计算第一特征像素,以将第一特征像素距离和第二特征像素与第二特征像素距离相关联。 将第一特征像素的第一特征像素距离和相邻第二特征像素与第二特征像素距离的平均值计算为特征像素以具有像素距离。 直方图通过仅特征像素的出现计数产生,其特征在于具有相同值相继出现的像素距离。 基于该直方图来判别读取的原稿是否为半色调。
    • 62. 发明授权
    • Image output inspection system, image inspection apparatus, and computer program product
    • 图像输出检测系统,图像检测仪器和计算机程序产品
    • US08488199B2
    • 2013-07-16
    • US12926828
    • 2010-12-13
    • Hiroyuki Kawamoto
    • Hiroyuki Kawamoto
    • H04N1/405H04N1/60G06K9/00G06K9/36
    • H04N1/40075
    • An image-output inspection system includes a printer controller that generates output image data subjected to halftone processing in accordance with an input image forming condition specified in a printer language, an image output device that forms an image on an image output medium on the basis of the output image data, and transmits the output image data, an image reader that reads the image output medium, and generates read image data, and an image inspection apparatus that is connected to the image output device, and generates correct image data by restoring image data before subjected to the halftone processing from the output image data, and determines whether a print state of the image output medium is good or not by comparing the correct image data with the read image data.
    • 图像输出检查系统包括:打印机控制器,其根据打印机语言指定的输入图像形成条件生成经过半色调处理的输出图像数据;图像输出装置,其基于图像输出介质在图像输出介质上形成图像 输出图像数据,并且发送输出图像数据,读取图像输出介质的图像读取器,并且生成读取的图像数据,以及连接到图像输出装置的图像检查装置,并且通过恢复图像生成正确的图像数据 在从输出图像数据进行半色调处理之前的数据,并且通过将正确的图像数据与读取的图像数据进行比较来确定图像输出介质的打印状态是否良好。
    • 63. 发明授权
    • System and method for inverse halftoning
    • 逆半色调的系统和方法
    • US08390894B2
    • 2013-03-05
    • US12585049
    • 2009-09-01
    • Sadiq Mohammed SaitUmair Farooq Siddiqi
    • Sadiq Mohammed SaitUmair Farooq Siddiqi
    • H04N1/405
    • H04N1/40075
    • The system and method for inverse halftoning using a partitioning look-up table (LUT) provides an improvement on a conventional LUT method for inverse halftoning, and a hardware implementation thereof. The method includes the partitioning of the single LUT into N smaller look-up tables (s-LUTs). After partitioning, N s-LUTs are generated, which can be stored in separate memory blocks, allowing parallel access to more than one s-LUT at any time. Such parallelization is not possible with only one LUT stored in a single memory block. Additionally, two or more templates (represented as r templates) with different pixels at position 0 can be retrieved from the halftone image concurrently. Further, the contents of the single LUT are partitioned into Ns-LUTs, thus the total entries in Ns-LUTs are equal to the entries in the single LUT of the conventional LUT based method of inverse halftoning.
    • 使用分区查找表(LUT)进行逆半色调的系统和方法提供了用于逆半色调的常规LUT方法及其硬件实现的改进。 该方法包括将单个LUT分割成N个更小的查找表(s-LUT)。 在分区之后,生成N s-LUT,其可以存储在单独的存储器块中,允许在任何时间并行访问多个s-LUT。 只有一个LUT存储在单个存储器块中,这种并行化是不可能的。 另外,可以从半色调图像同时检索具有位置0的不同像素的两个或更多个模板(表示为r模板)。 此外,单个LUT的内容被划分为Ns-LUT,因此Ns-LUT中的总条目等于基于LUT的逆半色调方法的单个LUT中的条目。
    • 66. 发明授权
    • Content-aware resizing of uniform rosette color halftone images
    • 内容感知尺寸均匀玫瑰花色彩半色调图像
    • US08077357B2
    • 2011-12-13
    • US12242183
    • 2008-09-30
    • Edgar BernalRobert P LoceShen-Ge Wang
    • Edgar BernalRobert P LoceShen-Ge Wang
    • G06K15/00G06K15/02G06K9/32
    • H04N1/40075H04N1/393H04N1/52
    • As provided herein, there are supplied teachings to systems and methods for resizing a digital uniform rosette halftone image composed of multiple colorant separations, by using uniform rosette halftone tile parameters. One approach entails receiving into a digital imaging system, a digital uniform rosette halftone image and a desired resizing factor for that digital uniform rosette halftone image. Subsequently the system will define uniform rosette cells within the color uniform rosette digital halftone image. From the defined uniform rosette cells, a number of uniform rosette halftone tile seams are determined for manipulation. The orientation of the number of uniform rosette halftone tile seams is dictated by the received desired resizing factor. An energy map of the digital uniform rosette halftone image is determined according to an energy metric derived from the multiple colorant separations. The energy of the number of uniform rosette halftone tile seams within the energy map is determined so as to provide indication of at least one low energy determined uniform rosette halftone tile seam. A resizing of the uniform rosette halftone image by manipulating the at least one low energy determined uniform rosette halftone tile seam is performed so as to obtain a resized uniform rosette halftone image. The resized uniform rosette halftone image may then be printed on a printer.
    • 如本文所提供的,通过使用均匀的玫瑰花半色调瓦片参数,提供了用于调整由多个着色剂分离组成的数字均匀玫瑰花半色调图像的系统和方法的教导。 一种方法需要接收数字成像系统,数字均匀花莲半色调图像和用于该数字均匀花莲半色调图像的期望的调整大小因子。 随后,系统将在彩色均匀玫瑰花数字半色调图像内定义均匀的玫瑰花结构细胞。 从定义的均匀花环细胞中,确定了许多均匀的玫瑰花半色调瓷砖接缝用于操纵。 均匀玫瑰状半色调瓷砖接缝数量的取向由接收到的所需调整尺寸系数决定。 根据从多个着色剂分离得到的能量度量来确定数字均匀花莲半色调图像的能量图。 确定能量图内均匀玫瑰状半色调瓷砖接缝数量的能量,以便提供至少一种低能量确定的均匀玫瑰花半色调瓦片接缝的指示。 通过操作至少一个低能量确定的均匀玫瑰花半色调瓷砖接缝来调整均匀玫瑰状半色调图像的大小,以获得调整尺寸的均匀玫瑰花色半色调图像。 然后可以在打印机上打印调整大小的均匀花莲半色调图像。
    • 68. 发明授权
    • Sharpening a halftoned image
    • 锐化半色调图像
    • US07719719B2
    • 2010-05-18
    • US11522610
    • 2006-09-18
    • Robert P. LoceYeqing ZhangBeilei Xu
    • Robert P. LoceYeqing ZhangBeilei Xu
    • H04N1/405H04N1/409
    • H04N1/40075H04N1/4092
    • Images that include halftone structures are sharpened. A copy of received halftone image data is blurred, thereby reducing a detectability of edges of the halftone structures. Edges remaining in the blurred image data are detected. An edge enhancement image is generated based on the detected edges. The original received halftone image data is combined with the edge enhancement image, thereby generating sharpness enhanced image data having halftone structures. The sharpness enhanced image data having halftone structures can be rendered through a halftone screen that is compatible with a halftone screen that was used to generate the originally received image data. Alternatively, the sharpness enhanced image data having halftone structures is rendered according to error diffusion techniques, such as, rank order error diffusion in order to achieve or maintain dot or halftone structure compaction.
    • 包括半色调结构的图像被削尖。 所接收的半色调图像数据的副本被模糊,从而降低了半色调结构的边缘的可检测性。 检测残留在模糊图像数据中的边缘。 基于检测到的边缘生成边缘增强图像。 原始接收的半色调图像数据与边缘增强图像组合,从而产生具有半色调结构的锐度增强的图像数据。 具有半色调结构的清晰度增强的图像数据可以通过与用于生成原始接收的图像数据的半色调屏幕兼容的半色调屏幕来呈现。 或者,具有半色调结构的清晰度增强的图像数据根据误差扩散技术(诸如等级误差扩散)来形成,以实现或维持点或半色调结构压缩。
    • 70. 发明授权
    • Image processing device and method
    • 图像处理装置及方法
    • US07373015B2
    • 2008-05-13
    • US10149486
    • 2000-12-11
    • Kazuyuki Nako
    • Kazuyuki Nako
    • G06K9/40
    • G06T3/403H04N1/40075
    • In an image processing method for reducing an input image while preventing moire without deterioration of image quality, presence/absence of periodicity is detected for each pixel on the input image, and if there is periodicity, an image period is detected (S4). Sample points are sequentially extracted from the input image at prescribed sampling intervals (S5). A value is obtained by multiplying the image period by n (n is a natural number) that exceeds the sampling interval, to set a smoothing area. Pixels around a sample point is smoothed in the set smoothing area. The pixel value for a reduced image is obtained (S6). If there is an unprocessed sample point (NO at S8), the step goes back to S6, and the next sample point is subjected to a similar process. If the process is terminated for all the sample points (YES at S8), the reduced image is output.
    • 在用于减少输入图像同时防止图像质量恶化的图像处理方法中,对于输入图像上的每个像素检测周期性的存在/不存在,并且如果存在周期性,则检测图像周期(S 4)。 以规定的采样间隔从输入图像顺序提取采样点(S 5)。 通过将图像周期乘以n(n是自然数)获得超过采样间隔的值,以设置平滑区域。 采样点周围的像素在设置的平滑区域中平滑。 获得缩小图像的像素值(S 6)。 如果存在未处理的采样点(S 8时为否),则该步骤返回到S 6,并且下一个采样点进行类似的处理。 如果所有采样点的处理结束(步骤8中为“是”),则输出缩小图像。