Image processing algorithm for characterization of uniformity of printed images
    1.
    发明授权
    Image processing algorithm for characterization of uniformity of printed images 失效
    用于表征印刷图像均匀性的图像处理算法

    公开(公告)号:US06571000B1

    公开(公告)日:2003-05-27

    申请号:US09450180

    申请日:1999-11-29

    IPC分类号: G06K900

    摘要: This invention specifically covers one of the many image quality (IQ) metrics that can be part of an overall image quality analysis engine. The specific problem with image quality addressed with this metric is that of a region of a printed (or copied) image, which was intended to have a uniform color, but which shows visible color variations. The color variation can have many different forms, both with respect to the type of color difference and with respect to the spatial nature of the non-uniformities. The image quality analysis system readily distinguishes between non-uniformities in the following different categories, including: (a) amplitude modulated cluster dot halftone patterns; (b) frequency modulated halftone patterns (e.g., stochastic screens); (c) irregular two-dimensional variations from noise; (d) isolated (non-periodic) one-dimensional streaks; (e) periodic, one-dimensional bands; and (f) two-dimensional periodic variations (Moire). The results from the image quality analysis can then be used as a basis for diagnosing machine problems.

    摘要翻译: 本发明具体涵盖可以成为整体图像质量分析引擎的一部分的许多图像质量(IQ)度量之一。 用该度量方法处理的图像质量的具体问题是打印(或复制)图像的区域,其打算具有均匀的颜色,但是显示可见的颜色变化。 颜色变化可以具有许多不同的形式,无论是对于色差的类型,还是关于非均匀性的空间性质。 图像质量分析系统容易区分以下不同类别的不均匀性,包括:(a)调幅簇点半色调图案; (b)调频半色调图案(例如随机屏幕); (c)噪音不规则的二维变化; (d)孤立(非周期性)一维条纹; (e)周期性,一维条带; 和(f)二维周期变化(莫尔)。 然后可以将图像质量分析的结果作为诊断机器问题的依据。