畸变图像自适应校正及质量增强算法研究与实现  

Research and implementation of adaptive distortion image correction and quality enhancement algorithm

作　　者：陈忠辉[1] 唐晓颖 林志权 魏宏安[1] CHEN Zhonghui;TANG Xiaoying;LIN Zhiquan;WEI Hongan(College of Physics and Information Engineering,Fuzhou University,Fuzhou Fujian 350108,China)

机构地区：[1]福州大学物理与信息工程学院,福州350108

出　　处：《计算机应用》2020年第S01期180-184,共5页journal of Computer Applications

摘　　要：针对实际场景与成像设备之间存在的视角误差导致成像图像产生畸变的问题,提出了一种畸变图像自适应校正及质量增强算法。首先,利用透视变换来纠正这种畸变,通过对图像做灰度化、滤波、边缘和直线检测等处理来自适应透视变换矩阵;其次,变换后的图像存在内容及边缘模糊的问题,采用质量增强的方法进行进一步处理;最后,采用无参考图像质量评价的算法作为客观评价指标来评估处理后图像清晰度是否有所提高。理论分析和仿真结果表明,与传统图像校正算法相比较,通过图像质量增强能提高校正后图像的清晰程度,增强图像边缘轮廓,丰富图像的细节层次。Concerning the problem that the viewing angle error between the actual scene and the imaging device causes the distortion of the imaging image,an adaptive correction and quality enhancement algorithm for the distorted image was proposed. Firstly,the perspective transformation was used to correct this distortion,and the perspective transformation matrix was adaptively processed by graying,filtering,edge and line detection of the image. Secondly,the transformed image has content and blurred edges,so it is further processed by quality enhancement. Finally,by using the algorithm of nonreference image quality assessment as an objective evaluation index,it is evaluated whether the sharpness of the processed image has been improved. Theoretical analysis and simulation results show that compared with traditional image correction algorithms,the image quality enhancement algorithm can improve the clarity of the corrected image,enhance the edge contours of the image,and enrich the level of detail of the image.

关 键 词：畸变图像 透视变换 自适应校正 质量增强 图像质量评价 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]