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Method and apparatus for providing halftoning processing of color images by means of a neural network

机译:通过神经网络提供彩色图像的半色调处理的方法和设备

摘要

The invention eliminates the drawbacks of the conventional dither and error diffusion methods used as halftoning techniques, namely the blurring of edges with the dither method and the appearance of peculiar patterns with the error diffusion method. To this end, an image processing apparatus is provided with an input unit for entering a plurality of color image signals, an image processing unit for subjecting the plurality of entered color image signals to processing based upon the algorithm of a cellular neural network, and a comparison decision unit for deciding output color data based upon results of processing by the image processing unit. Since input multivalued color image data based upon the algorithm of a neural network are converted to output color image data, it is possible to obtain a high-quality output color image that is faithful to the input color image.
机译:本发明消除了用作半色调技术的常规抖动和误差扩散方法的缺点,即,抖动方法使边缘模糊以及误差扩散方法使出现特殊图案。为此,图像处理设备设置有用于输入多个彩色图像信号的输入单元,用于基于细胞神经网络的算法对多个输入的彩色图像信号进行处理的图像处理单元,以及比较判定单元,用于基于图像处理单元的处理结果来判定输出颜色数据。由于将基于神经网络算法的输入多值彩色图像数据转换为输出彩色图像数据,因此可以获得忠实于输入彩色图像的高质量输出彩色图像。

著录项

  • 公开/公告号EP0778696B1

    专利类型

  • 公开/公告日2002-08-14

    原文格式PDF

  • 申请/专利权人 CANON KK;

    申请/专利号EP19960308547

  • 申请日1996-11-26

  • 分类号H04N1/52;H04N1/40;

  • 国家 EP

  • 入库时间 2022-08-22 00:36:22

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