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    • 21. 发明授权
    • Image processing method and apparatus
    • 图像处理方法和装置
    • US07342684B2
    • 2008-03-11
    • US10664948
    • 2003-09-22
    • Kazuya ImafukuKentaro YanoMasao KatoAkitoshi Yamada
    • Kazuya ImafukuKentaro YanoMasao KatoAkitoshi Yamada
    • H04N1/52H04N1/58
    • H04N1/52
    • It is an object of this invention to prevent a false edge phenomenon in quantization processing for a multilevel image. In order to achieve this object, according to the invention, (1) a reference threshold (Cthreshold) to be used for error diffusion for a cyan (C) component is obtained on the basis of a density value M of a magenta (M) component. (2) A threshold modulation amount table is referred to by using a combination of a density value C of the C component and the density value M of the M component. (3) A correction threshold modulation amount Cthreshold′ is determined by adding the threshold modulation amount obtained in the second step to the reference threshold Cthreshold to be used for error diffusion for the C component. (4) A density Ct after error diffusion for the C component is compared with the correction threshold Cthreshold′. If the density Ct is higher, a quantization value binDataC of the target pixel is set to 255. If the density Ct is lower, the quantization value is set to 0. The same processing as described above is also performed for the cyan component.
    • 本发明的一个目的是防止多电平图像的量化处理中的伪边缘现象。 为了实现该目的,根据本发明,(1)基于品红色(M)的浓度值M获得用于青色(C)分量的误差扩散的参考阈值(Cthreshold) 零件。 (2)通过使用C分量的浓度值C和M分量的浓度值M的组合来参照阈值调制量表。 (3)通过将第二步骤中获得的阈值调制量与用于C分量的误差扩散的参考阈值Cthreshold相加来确定校正阈值调制量Cthreshold'。 (4)将C分量的误差扩散后的密度Ct与校正阈值Cthreshold'进行比较。 如果密度Ct较高,则将目标像素的量化值binDataC设定为255.如果浓度Ct较低,则将量化值设定为0.对于青色成分,也进行与上述同样的处理。
    • 24. 发明授权
    • Image processing to perform error diffusion with dots formed based color component values and their sum relative to a threshold
    • 图像处理,以基于颜色分量值形成的点进行误差扩散及其相对于阈值的和
    • US07859723B2
    • 2010-12-28
    • US12431624
    • 2009-04-28
    • Akitoshi YamadaHiromitsu HirabayashiMasao Kato
    • Akitoshi YamadaHiromitsu HirabayashiMasao Kato
    • H04N1/52
    • H04N1/52
    • Image processing apparatus and image processing method for formation of high quality image by high-speed error diffusion processing by execution of more complicated threshold condition processing in a simple manner. When error diffusion processing is performed on multivalued image data having plural density components and the result of processing is outputted, upon execution of error diffusion processing on a first density component among the plural density components, a threshold value used in the error diffusion processing is determined based on a density value of a second density component, then the error diffusion processing is performed on the first density component based on the determined threshold value, and the result of execution of the error diffusion processing is outputted. Further, upon execution of the error diffusion processing on the second density component among the plural density components, a threshold value used in the error diffusion processing is determined based on a density value of the first density component, then the error diffusion processing is performed on the second density component based on the determined threshold value, and the result of the error diffusion processing is outputted.
    • 通过以简单的方式执行更复杂的阈值条件处理,通过高速误差扩散处理形成高质量图像的图像处理装置和图像处理方法。 当对具有多个浓度分量的多值图像数据执行误差扩散处理并且输出处理结果时,在对多个浓度分量中的第一密度分量执行误差扩散处理时,确定在误差扩散处理中使用的阈值 基于第二密度分量的密度值,然后基于所确定的阈值对第一密度分量执行误差扩散处理,并且输出误差扩散处理的执行结果。 此外,在对多个密度分量中的第二密度分量执行误差扩散处理之后,基于第一密度分量的密度值来确定误差扩散处理中使用的阈值,然后进行误差扩散处理 输出基于所确定的阈值的第二密度分量和误差扩散处理的结果。
    • 28. 发明授权
    • Image processing apparatus and method for performing error diffusion based on density values of different color components
    • 基于不同颜色分量的密度值进行误差扩散的图像处理装置和方法
    • US07548346B2
    • 2009-06-16
    • US11370982
    • 2006-03-09
    • Akitoshi YamadaHiromitsu HirabayashiMasao Kato
    • Akitoshi YamadaHiromitsu HirabayashiMasao Kato
    • H04N1/405H04N1/52
    • H04N1/52
    • Image processing apparatus and image processing method for formation of high quality image by high-speed error diffusion processing by execution of more complicated threshold condition processing in a simple manner. When error diffusion processing is performed on multivalued image data having plural density components and the result of processing is outputted, upon execution of error diffusion processing on a first density component among the plural density components, a threshold value used in the error diffusion processing is determined based on a density value of a second density component, then the error diffusion processing is performed on the first density component based on the determined threshold value, and the result of execution of the error diffusion processing is outputted. Further, upon execution of the error diffusion processing on the second density component among the plural density components, a threshold value used in the error diffusion processing is determined based on a density value of the first density component, then the error diffusion processing is performed on the second density component based on the determined threshold value, and the result of the error diffusion processing is outputted.
    • 通过以简单的方式执行更复杂的阈值条件处理,通过高速误差扩散处理形成高质量图像的图像处理装置和图像处理方法。 当对具有多个浓度分量的多值图像数据执行误差扩散处理并且输出处理结果时,在对多个浓度分量中的第一密度分量执行误差扩散处理时,确定在误差扩散处理中使用的阈值 基于第二密度分量的密度值,然后基于所确定的阈值对第一密度分量执行误差扩散处理,并且输出误差扩散处理的执行结果。 此外,在对多个密度分量中的第二密度分量执行误差扩散处理之后,基于第一密度分量的密度值来确定误差扩散处理中使用的阈值,然后进行误差扩散处理 输出基于所确定的阈值的第二密度分量和误差扩散处理的结果。