基于查找表的半色调算法。

Look-up-table based halftoning algorithm.

机构信息

School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-1285, USA.

出版信息

IEEE Trans Image Process. 2000;9(9):1593-603. doi: 10.1109/83.862640.

DOI:10.1109/83.862640

Abstract

Screening is a low complexity halftoning algorithm that has been widely used in many applications. However, screen design requires that the stacking property be obeyed. This constraint limits the texture quality at each gray level. We present a look-up-table based halftoning algorithm for which the stacking constraint is not necessarily satisfied; but the binary patterns for individual levels are still correlated. The binary patterns are designed level by level using the direct binary search method. The algorithm improves halftone image quality compared with screening.

摘要

筛网是一种低复杂度的半色调算法，已广泛应用于许多领域。但是，筛网设计需要满足叠印特性。这种约束限制了每个灰度级的纹理质量。我们提出了一种基于查找表的半色调算法，该算法不满足叠印约束，但各个灰度级的二值图案仍然是相关的。使用直接二进制搜索方法逐级设计二值图案。与筛网相比，该算法提高了半色调图像质量。

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