现代电子技术2017，Vol.40Issue(15)：21-24,4.DOI:10.16652/j.issn.1004-373x.2017.15.006
基于DWT和奇异值分解的图像增强算法
Image enhancement algorithm based on DWT and singular value decomposition
摘要
Abstract
An image quality enhancement method based on discrete wavelet transform(DWT)and singular value decompo-sition is proposed to enhance the resolution and contrast simultaneously. The input image is decomposed into four sub-bands by means of DWT to estimate the singular value matrix of the low-frequency sub-band image. And then the image is enhanced by means of inverse DWT reconstruction. The algorithm is applied to the gray level image,color image and satellite image,and compared with other image enhancement algorithms. The experimental results show that,in comparison with other traditional technology,the method has better performance.关键词
图像增强/对比度/分辨率/离散小波变换/奇异值分解Key words
image enhancement/contrast/resolution/discrete wavelet transform/singular value decomposition分类
信息技术与安全科学引用本文复制引用
郑良仁,代文征,靳宗信,杨勇..基于DWT和奇异值分解的图像增强算法[J].现代电子技术,2017,40(15):21-24,4.基金项目
国家青年科学基金项目(61502432) （61502432）
郑州市地方高校急(特)需专业建设项目(zzlg201608) （特）
河南省高等学校重点科研项目:基于大规模视频的异常行为检测技术研究(17B520021) （17B520021）
郑州市智能图像处理与识别重点实验室项目(郑[2013]2号) （郑[2013]2号）
