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    科学领域:

    • 图像处理 图像处理
    • 计算机图形 计算机图形
    • 印刷技术 印刷技术 印刷技术

    背景情况:

    • 喷墨打印机经常遭受点位移错误,影响打印质量.
    • 现有的半声调算法,如直接二进制搜索 (DBS),对于宽页打印机来说,可能是计算密集型和内存密集型.
    • 预测灰色值的表式方法与大量喷嘴数量和显著的点位移效应作斗争.

    研究的目的:

    • 为直接二进制搜索 (DBS) 半调算法提出一个新的统计墨水滴位移 (IDD) 打印机模型.
    • 为了解决全页喷墨打印机现有方法的内存和计算复杂性的局限性.
    • 通过直接模拟墨水滴位移来提高半色化的准确性和效率.

    主要方法:

    • 开发了一个统计墨水滴位移 (IDD) 模型,通过将感知到的墨水滴移动到其实际位置来表示点位移.
    • 修改了直接二进制搜索 (DBS) 算法,直接计算最终的打印外观,而不需要表查看.
    • 将DBS中的确定性成本函数替换为对位移集的预期,以统计计算墨水掉落行为.

    主要成果:

    • 拟议的IDD模型消除了内存问题,并提高了DBS半解调的计算效率.
    • 实验结果表明,与原来的DBS算法相比,印刷图像质量有了显著的改善.
    • 用IDD模型实现的图像质量略高于表式方法.

    结论:

    • 统计墨水滴位移 (IDD) 模型为喷墨打印中DBS半位化提供了更高效和有效的方法.
    • 这种新型模型成功地减轻了点位移错误的影响,从而带来了优越的打印质量.
    • IDD模型为全页喷墨打印机提供了可行的解决方案,这些打印机需要高质量的半,并减少了计算开销.