IEEE Trans Image Process. 2013 Nov;22(11):4522-31. doi: 10.1109/TIP.2013.2277774. Epub 2013 Aug 8.
Look-up table (LUT) halftoning is an efficient way to construct halftone images and approximately simulate the dot distribution of the learned halftone image set. In this paper, a general mechanism named multiple look-up table (MLUT) halftoning is proposed to generate the halftones of direct binary search (DBS), whereas the high efficient characteristic of the LUT is still preserved. In the MLUT, the standard deviation is adopted as an important feature to classify various tables. In addition, the proposed quick standard deviation evaluation is employed to yield an extremely low computational complexity in calculating the standard deviation. In the parameter optimization, the autocorrelation is adopted because it can fully characterize the periodicity of dot distribution. Experimental results demonstrate that the dot distribution generated by the proposed method approximates to that of the DBS, which enables the proposed scheme as a very competitive candidate in the copying and printing industry.
查找表（LUT）半色调是构造半色调图像并近似模拟所学习的半色调图像集合的点分布的有效方法。在本文中，提出了一种名为多查找表（MLUT）半色调的通用机制，用于生成直接二进制搜索（DBS）的半色调，而保留 LUT 的高效特性。在 MLUT 中，采用标准偏差作为分类各种表的重要特征。此外，所提出的快速标准偏差评估用于在计算标准偏差时产生极低的计算复杂度。在参数优化中，采用自相关，因为它可以充分表征点分布的周期性。实验结果表明，所提出的方法生成的点分布近似于 DBS 的点分布，这使得所提出的方案成为复制和打印行业非常有竞争力的候选方案。
