基于量子信号处理的数字半色调算法  

Digital Halftoning Algorithm Based on Quantum Signal Processing

作　　者：席亮[1,2] 

机构地区：[1]上海市普陀区业余大学信息工程系,上海200062 [2]上海开放大学普陀分校信息工程系,上海200062

出　　处：《计算机与现代化》2015年第9期30-34,41,共6页Computer and Modernization

基　　金：上海远程教育集团学科研究课题(JF1510)

摘　　要：针对数字图像的半色调技术,提出一种基于量子信号处理的数字半色调算法。首先把归一化的灰度图像表示成量子比特的形式,然后用随机观察的方式对其进行量子测量,测量后坍缩成一幅二值图像。然后计算该二值图像与原图的误差,并将其乘以自适应反馈系数后,对原图进行增强处理。最后把增强过的图像使用传统误差扩散算法生成最终的半色调图像。仿真实验表明,该方法能有效减少半色调图像的结构性纹理现象,并且对比度较高,在主观视觉感受和客观评价指标上均优于传统的数字半色调方法。A new halftoning method based on quantum signal processing is proposed for the digital halftoning technical. Firstly the normalized gray images are expressed as the form of quantum bit, then we make the quantum measurement with random obser-vation. The original image is collapsed into a binary image after measuring. The error between the binary image and the original image is calculated, and the product of the error and the adaptive feedback coefficient is used for image enhancement processing. Finally the halftone image is generated by the enhanced image using the traditional error diffusion algorithm. The simulation re-sults show that the method can reduce structural texture and increase the contrast of halftone image. It outperforms the convention-al digital halftone methods in subjective vision perception and objective evaluation index.

关 键 词：数字半色调 误差扩散 量子信号处理 误差反馈 结构相似度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]