Image processing method and apparatus
    1.
    发明授权
    Image processing method and apparatus 有权
    图像处理方法和装置

    公开(公告)号:US07342684B2

    公开(公告)日:2008-03-11

    申请号:US10664948

    申请日:2003-09-22

    IPC分类号: H04N1/52 H04N1/58

    CPC分类号: H04N1/52

    摘要: 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.

    摘要翻译: 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。

    Image processing apparatus, image processing method, and program
    2.
    发明授权
    Image processing apparatus, image processing method, and program 有权
    图像处理装置,图像处理方法和程序

    公开(公告)号:US07312901B2

    公开(公告)日:2007-12-25

    申请号:US10387424

    申请日:2003-03-14

    IPC分类号: H04N1/405

    CPC分类号: H04N1/52

    摘要: In an image processing apparatus which performs an error diffusion process to multivalued image data consisting of plural density components and outputs a result of the error diffusion process, the process result from a first error diffusion unit performing the error diffusion process based on a density value of a first density component included in the plural density components or the process result from a second error diffusion unit performing the error diffusion process based on the density value of the first density component and a density value of at least one density component included in other density components is selected according to a predetermined condition. Thus, even in an image process is performed to a larger number of gradations, a high-speed process can be achieved with simple structure, and the error diffusion process can be effectively performed to a shift of dot apply positions.

    摘要翻译: 在对由多个浓度分量组成的多值图像数据进行误差扩散处理的图像处理装置中,输出误差扩散处理的结果,来自基于密度值的第一误差扩散单元进行误差扩散处理的处理结果 包含在多个密度分量中的第一密度分量或来自基于第一密度分量的密度值执行误差扩散处理的第二误差扩散单元的处理结果和包括在其它密度分量中的至少一个密度分量的密度值 根据预定条件选择。 因此,即使对更大数量的灰度进行图像处理,也可以以简单的结构实现高速处理,并且可以有效地进行点施加位置的偏移的误差扩散处理。

    Image processing apparatus, image processing method, image processing program, and storage medium
    3.
    发明授权
    Image processing apparatus, image processing method, image processing program, and storage medium 有权
    图像处理装置,图像处理方法,图像处理程序和存储介质

    公开(公告)号:US07948655B2

    公开(公告)日:2011-05-24

    申请号:US11768488

    申请日:2007-06-26

    IPC分类号: G06K15/00

    CPC分类号: H04N1/40062

    摘要: There is disclosed an image processing apparatus which applies an adjusting process to an image that includes a pixel to be processed. The image processing apparatus extracts an image area with a predetermined size including the pixel to be processed. The apparatus calculates a variation associated with the pixel to be processed from signal values of pixels included in the image area. The apparatus calculates a variation time count in the image area from the signal values of the pixels included in the image area. The apparatus calculates adjusting levels Fz1, Fz2, and Fe from the variation time count and the variation using a definition unit which defines correspondence among the variation time count, the variation, and the adjusting levels, and applies an adjusting process to a signal value of the pixel to be processed by the calculated adjusting levels. Note that the definition unit defines the correspondence so that the adjusting levels Fz1, Fz2, and Fe progressively change in accordance with different variation time counts or different variations.

    摘要翻译: 公开了一种对包括要处理的像素的图像应用调整处理的图像处理装置。 图像处理装置提取具有包括要处理的像素的预定尺寸的图像区域。 该装置根据包括在图像区域中的像素的信号值计算与要处理的像素相关联的变化。 该装置根据包括在图像区域中的像素的信号值来计算图像区域中的变化时间计数。 该装置使用定义单位从变化时间计数和变化计算调整水平Fz1,Fz2和Fe,该定义单元定义变化时间计数,变化和调整水平之间的对应关系,并且将调整处理应用于 要通过计算的调整级别处理的像素。 注意,定义单元定义对应关系,使得调整水平Fz1,Fz2和Fe根据不同的变化时间计数或不同的变化逐渐改变。

    Image processing method and apparatus
    4.
    发明授权
    Image processing method and apparatus 有权
    图像处理方法和装置

    公开(公告)号:US07274491B2

    公开(公告)日:2007-09-25

    申请号:US10368592

    申请日:2003-02-20

    IPC分类号: H04N1/40

    CPC分类号: H04N1/608 H04N1/6027

    摘要: Upon outputting halftone image data to an output device, density transformation is prevalently done to improve image quality. Density transformation corresponds to linear gamma correction, and cannot correct any color fog and the like of a photo image. Hence, lightness/color difference information of halftone image data is acquired on the basis of low-frequency components of frequency data obtained by transforming halftone image data into spatial frequency components, and a lightness/color difference transform amount of the halftone image data is set on the basis of the acquired lightness/color difference information.

    摘要翻译: 将半色调图像数据输出到输出装置时,通常会进行浓度变换以提高图像质量。 密度变换对应于线性伽马校正,不能校正照片图像的任何色雾等。 因此,基于通过将半色调图像数据变换为空间频率分量而获得的频率数据的低频分量来获取半色调图像数据的亮度/色差信息,并且设置半色调图像数据的亮度/色差变换量 基于获得的亮度/色差信息。

    Image processing method and apparatus
    6.
    发明授权
    Image processing method and apparatus 有权
    图像处理方法和装置

    公开(公告)号:US07643178B2

    公开(公告)日:2010-01-05

    申请号:US11839021

    申请日:2007-08-15

    IPC分类号: H04N1/40

    CPC分类号: H04N1/608 H04N1/6027

    摘要: Upon outputting halftone image data to an output device, density transformation is prevalently performed to improve image quality. Density transformation corresponds to linear gamma correction, and cannot correct for color fog and the like that may occur in a photo image. Hence, lightness and color-difference information of halftone image data is acquired on the basis of low-frequency components of frequency data obtained by transforming halftone image data into spatial frequency components, and a lightness and color-difference transform amount of the halftone image data is set on the basis of the acquired lightness and color-difference information.

    摘要翻译: 在将输出半色调图像数据输出到输出装置时,通常执行密度变换以提高图像质量。 密度变换对应于线性伽马校正,并且不能校正可能在照片图像中发生的色雾等。 因此,基于通过将半色调图像数据变换为空间频率分量而获得的频率数据的低频分量,以及半色调图像数据的亮度和色差变换量,获得半色调图像数据的亮度和色差信息 基于获取的亮度和色差信息设置。

    IMAGE PROCESSING METHOD AND APPARATUS
    9.
    发明申请
    IMAGE PROCESSING METHOD AND APPARATUS 有权
    图像处理方法和装置

    公开(公告)号:US20080018939A1

    公开(公告)日:2008-01-24

    申请号:US11839021

    申请日:2007-08-15

    IPC分类号: H04N1/405

    CPC分类号: H04N1/608 H04N1/6027

    摘要: Upon outputting halftone image data to an output device, density transformation is prevalently performed to improve image quality. Density transformation corresponds to linear gamma correction, and cannot correct for color fog and the like that may occur in a photo image. Hence, lightness and color-difference information of halftone image data is acquired on the basis of low-frequency components of frequency data obtained by transforming halftone image data into spatial frequency components, and a lightness and color-difference transform amount of the halftone image data is set on the basis of the acquired lightness and color-difference information.

    摘要翻译: 在将输出半色调图像数据输出到输出装置时,通常执行密度变换以提高图像质量。 密度变换对应于线性伽马校正,并且不能校正可能在照片图像中发生的色雾等。 因此,基于通过将半色调图像数据变换为空间频率分量而获得的频率数据的低频分量,以及半色调图像数据的亮度和色差变换量,获得半色调图像数据的亮度和色差信息 基于获取的亮度和色差信息设置。