摘要
针对彩色图像逆半调算法普遍存在破坏色彩相关性和复杂度较高的缺点,提出了一种基于人类视觉系统模型的逆半调算法。该算法将人类视觉系统处理彩色图像的方法应用到彩色图像逆半调系统中,按照人类视觉系统模型和特征选取了逆半调处理的彩色空间和滤波器,设计了滤波器的形状和尺寸。为了验证算法的有效性,将该算法与查找表逆半调算法、小波逆半调算法进行了比较。仿真实验表明,该算法的逆半调图像质量较好且计算复杂度较低。
An inverse halftoning algorithm for color images based on human visual system＇s characteristics was proposed, against the damage of color relativity and the higher complexity of other algorithms. The new algorithm processes halftone images imitating that the human visual system does. Furthermore, the shape and the size of filters for inverse halftoning was designed according to the detail resolution of eyes. The experimental results show that the proposed method achieves a better quality of images than the lookup-table method for inverse halftone and the wavelet method for inverse halftone, and lower complexity than other methods.
出处
《液晶与显示》
CAS
CSCD
北大核心
2008年第6期783-787,共5页
Chinese Journal of Liquid Crystals and Displays
基金
内蒙古教育厅高校基金(No.NJZY07116)
关键词
逆半调
人类视觉系统
视觉模型
对立色空间
inverse halftoning
human visual system
vision model
opponent space
