Methods and systems for achieving print uniformity using reduced memory or computational requirements
    1.
    发明授权
    Methods and systems for achieving print uniformity using reduced memory or computational requirements 有权
    使用减少记忆或计算要求实现打印均匀性的方法和系统

    公开(公告)号:US08705120B2

    公开(公告)日:2014-04-22

    申请号:US12786694

    申请日:2010-05-25

    IPC分类号: H04N1/46 H04N1/60

    CPC分类号: H04N1/407 H04N1/4097

    摘要: Engine response curves (RCs) can be used for streak compensation for printed documents. A feedback control paradigm can be included to effect RC compensation. Singular Value Decomposition (SVD) can be used to represent each RC in the collection of spatial RC data as a linear combination of basis vectors. RCs are approximated by selecting the first few basis vectors, the approximation aiding in noise rejection and reducing computation in the controller by reducing dimensionality of the RC data from gray levels to the number of SVD bases selected. An optimal subset of RCs is selectable from the set of approximated RCs by clustering the SVD weights, the clustered SVD weights producing TRCs that span all engine response RCs generated by a printer. Compensation RCs are constructible using reduced number of bases and clustered SVD weights.

    摘要翻译: 发动机响应曲线(RC)可用于印刷文件的条纹补偿。 可以包括反馈控制范例来实现RC补偿。 奇异值分解(SVD)可以用于将空间RC数据的集合中的每个RC表示为基向量的线性组合。 通过选择前几个基本矢量近似,近似有助于噪声抑制,并通过将RC数据从灰度级降低到所选择的SVD基数来减少控制器中的计算。 通过对SVD权重进行聚类,可从集合的近似RC中选择RC的最佳子集,产生跨越由打印机产生的所有发动机响应RC的TRC的聚类SVD权重。 补偿RC可以使用减少的基数和聚类SVD权重来构建。

    METHODS AND SYSTEMS ACHIEVING PRINT UNIFORMITY USING REDUCED MEMORY OR COMPUTATIONAL REQUIREMENTS
    2.
    发明申请
    METHODS AND SYSTEMS ACHIEVING PRINT UNIFORMITY USING REDUCED MEMORY OR COMPUTATIONAL REQUIREMENTS 有权
    使用减少内存或计算要求实现打印均匀性的方法和系统

    公开(公告)号:US20100231942A1

    公开(公告)日:2010-09-16

    申请号:US12786694

    申请日:2010-05-25

    IPC分类号: G06F15/00

    CPC分类号: H04N1/407 H04N1/4097

    摘要: Engine response curves (RCs) can be used for streak compensation for printed documents. A feedback control paradigm can be included to effect RC compensation. Singular Value Decomposition (SVD) can be used to represent each RC in the collection of spatial RC data as a linear combination of basis vectors. RCs are approximated by selecting the first few basis vectors, the approximation aiding in noise rejection and reducing computation in the controller by reducing dimensionality of the RC data from gray levels to the number of SVD bases selected. An optimal subset of RCs is selectable from the set of approximated RCs by clustering the SVD weights, the clustered SVD weights producing TRCs that span all engine response RCs generated by a printer. Compensation RCs are constructible using reduced number of bases and clustered SVD weights.

    摘要翻译: 发动机响应曲线(RC)可用于印刷文件的条纹补偿。 可以包括反馈控制范例来实现RC补偿。 奇异值分解(SVD)可以用于将空间RC数据的集合中的每个RC表示为基向量的线性组合。 通过选择前几个基本矢量近似,近似有助于噪声抑制,并通过将RC数据从灰度级降低到所选择的SVD基数来减少控制器中的计算。 通过对SVD权重进行聚类,可从集合的近似RC中选择RC的最佳子集,产生跨越由打印机产生的所有发动机响应RC的TRC的聚类SVD权重。 补偿RC可以使用减少的基数和聚类SVD权重来构建。