墨水滴位移基于模型的直接二进制搜索
概括
一个新的统计墨水滴位移 (IDD) 模型改善了喷墨打印机的直接二进制搜索 (DBS) 半径. 这种方法通过考虑点位移错误来提高图像质量,提供比现有方法更好的结果.
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.
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