基于人眼视觉特征的图像逆半调算法

Inverse Halftoning Algorithm Based on the Vision Characteristics

本文针对灰度图像逆半调算法复杂度高的特点,提出了一种基于人眼视觉特征的逆半调算法。算法根据人类视觉系统具有的对比敏感度特性、多通道特性,将其引入图像逆半调系统中,并根据人眼视觉系统分辨细节的能力和误差分散数字半调方法中半调误差的分散比例,设计了逆半调滤波器。为了验证算法的有效性,本算法与当前公开发表的三种逆半调方法的实验结果做了比较,实验结果表明本算法的逆半调图像质量较好,并且算法的时间复杂度、空间复杂度较低。

The inverse halftoning algorithm is used to reconstruct a gray image from an input halftone image. Considering that gray inverse halftoning algorithm featured the higher complexity of time and space, a novel algorithm based on human vision characteristics is proposed in this paper. The new inverse halftoning system imitates human vision system and has some of its characteristics. The size of filter is designed according to the eyes＇ ability of resolution details and the ratio among halftone errors in halftoning algo- rithm. The experimental results show that the proposed methods achieve a better quality and a lower complexity of time and space when compared to the currently published two methods, by Mese and Vaidyanathan and Kuo Liang Chung et al.