摘要
To overcome the shortcomings of the Lee image enhancement algorithm and its improvement based on the logarithmic image processing(LIP) model, this paper proposes what we believe to be an effective image enhancement algorithm. This algorithm introduces fuzzy entropy, makes full use of neighborhood information, fuzzy information and human visual characteristics.To enhance an image, this paper first carries out the reasonable fuzzy-3 partition of its histogram into the dark region, intermediate region and bright region. It then extracts the statistical characteristics of the three regions and adaptively selects the parameter αaccording to the statistical characteristics of the image’s gray-scale values. It also adds a useful nonlinear transform, thus increasing the ubiquity of the algorithm. Finally, the causes for the gray-scale value overcorrection that occurs in the traditional image enhancement algorithms are analyzed and their solutions are proposed.The simulation results show that our image enhancement algorithm can effectively suppress the noise of an image, enhance its contrast and visual effect, sharpen its edge and adjust its dynamic range.
To overcome the shortcomings of the Lee image enhancement algorithm and its improvement based on the logarithmic image processing(LIP) model, this paper proposes what we believe to be an effective image enhancement algorithm. This algorithm introduces fuzzy entropy, makes full use of neighborhood information, fuzzy information and human visual characteristics.To enhance an image, this paper first carries out the reasonable fuzzy-3 partition of its histogram into the dark region, intermediate region and bright region. It then extracts the statistical characteristics of the three regions and adaptively selects the parameter αaccording to the statistical characteristics of the image's gray-scale values. It also adds a useful nonlinear transform, thus increasing the ubiquity of the algorithm. Finally, the causes for the gray-scale value overcorrection that occurs in the traditional image enhancement algorithms are analyzed and their solutions are proposed.The simulation results show that our image enhancement algorithm can effectively suppress the noise of an image, enhance its contrast and visual effect, sharpen its edge and adjust its dynamic range.
基金
supported by the National Natural Science Foundation of China(61472324)
作者简介
WANG Baoping was born in 1964.He received his Ph.D.degree from Department of Electronic Engineering,Xidian University,in 2004.He is currently a professor and a master instructor in National Key Laboratory of Science and Technology on UAV.So far he has published more than 30 papers,in which four papers were SCI indexed and ten papers were EI indexed.His current research interests include imaging processing and radar imaging.E-mail:wbpluo@sina.com;MA Jianjun was born in 1993.He received his B.S.degree in computer science and technology from Shijiazhuang TieDao University,in 2016.He is currently working toward his M.S.degree in School of Electronics and Information,Northwestern Polytechnical University.His current research interests include radar imaging and image processing.E-mail:majianjun133@foxmail.com;HAN Zhaoxuan was born in 1993.He is currently a master student in Department of Electronics and Information,Northwestern Polytechnical University.His research interests include SAR imaging and imaging processing.E-mail:zhaoxuan han@foxmail.com;ZHANG Yan was born in 1991.He received his M.S.degree from School of Electronics and Information,Northwestern Polytechincal University(NWPU).He is currently a Ph.D.student in School of Electronics and Information,NWPU.His research interests are imaging processing and radar imaging.E-mail:shuxiangqiuyue@163.com;Corresponding author.FANG Yang was born in 1988.He received his M.S.degree from School of Electronics and Information,Northwestern Polytechnical University(NWPU).He is currently a Ph.D.student in School of Electronics and Information,NWPU.He also is a student member of IEEE.So far he has published 10 papers,in which three papers were SCI indexed and six papers was EI indexed.His current research interests include radar imaging,imaging processing and telemetry antenna.E-mail:fang yang122@vip.sina.com;GE Yimeng was born in 1993.She received her B.S.degree in computer science and technology from Xi’an University of Posts&Telecommunications,in 2015,where she is currently working toward her M.S.degree in computer application technology.Her research interests include image processing and machine learning.E-mail:ge0415@gmail.com
