基于人眼视觉特性的交互界面图像增强仿真  

Image Enhancement Simulation of Interactive Interface Based on Human Visual Characteristics

作　　者：张晓娜 张晓明 ZHANG Xiao-na;ZHANG Xiao-ming(Jinzhong College of Information,School of Information Engineering,Jinzhong Shanxi 030800,China;North University of China,School of Instrument and Electronics,Taiyuan Shanxi 030051,China)

机构地区：[1]晋中信息学院信息工程学院,山西晋中030800 [2]中北大学仪器与电子学院,山西太原030051

出　　处：《计算机仿真》2023年第8期254-257,344,共5页Computer Simulation

基　　金：2022年山西省教育厅高等学校教学改革创新项目(J20221445)。

摘　　要：交互界面图像会受到电路噪声、传输损耗等因素的影响,使图像出现较多噪声,导致交互界面图像效果较差,设计一个基于人眼视觉特性的交互界面图像增强仿真方法。进行图像转换与图像去噪处理,将人眼视觉特性应用到图像处理中,计算亮度敏感特性与图像空间频率,进行图像灰度处理和细节处理,并将彩色恢复因子引入到图像处理中,实现交互界面图像增强。实验结果表明,所研究的基于人眼视觉特性的交互界面图像增强方法有效提高了图像的平均梯度与信噪比,提高了图像增强效果,并且增强后的图像噪声、均方误差也较低,满足方法预期设计目标。The image in interactive interface may be affected by electronic noise or transmission loss.In order to obtain ideal image,this paper designed a method of simulating the enhancement of image in interactive interface based on human visual system.Through image conversion and image denoising,human visual system was applied in the image processing at first.Then,brightness sensitivity and spatial frequency were calculated.On this basis,the gray scale and details of image were processed.Moreover,colorful recovery factors were introduced into the image processing,thus achieving the enhancement for image in interactive interface.Following conclusions can be drawn from experimental results.The proposed method effectively improves the average gradient and signal-to-noise ratio of the image,as well as the enhancement effect;And the noise and mean square error after the image enhancement are both low;Thus we achieve the desired design goals.

关 键 词：人眼视觉特性 交互界面 图像增强 亮度 敏感特性 图像空间频率 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]