Graphic Era University, Dehradun 248002, India.
IEEE Trans Image Process. 2013 Feb;22(2):473-87. doi: 10.1109/TIP.2012.2218821. Epub 2012 Sep 13.
In this paper, we present a new algorithm for aperiodic clustered-dot halftoning based on direct binary search (DBS). The DBS optimization framework has been modified for designing clustered-dot texture, by using filters with different sizes in the initialization and update steps of the algorithm. Following an intuitive explanation of how the clustered-dot texture results from this modified framework, we derive a closed-form cost metric which, when minimized, equivalently generates stochastic clustered-dot texture. An analysis of the cost metric and its influence on the texture quality is presented, which is followed by a modification to the cost metric to reduce computational cost and to make it more suitable for screen design.
在本文中，我们提出了一种基于直接二进制搜索（DBS）的非周期性聚类点半色调新算法。通过在算法的初始化和更新步骤中使用不同大小的滤波器，对 DBS 优化框架进行了修改，用于设计聚类点纹理。在直观解释了这种修改后的框架如何产生聚类点纹理之后，我们推导出了一个封闭形式的代价度量，当最小化时，它等效地生成随机聚类点纹理。本文还分析了代价度量及其对纹理质量的影响，随后对代价度量进行了修改，以降低计算成本并使其更适合屏幕设计。
