An Improved Image Enhancement Algorithm

被引：4
|
作者：
MA Jing [1 ,2 ]
ZOU Chengming [1 ,2 ,3 ]
JIN Xiaolong [4 ]
机构：
[1] Hubei Key Laboratory of Transportation Internet of Things
[2] Department of Computer Science and Technology,Wuhan University of Technology
[3] Jiangxi Lanxiang Heavy Industries Company  4. Wuhan Road and Bridge Toll Management Center
来源：
Wuhan University Journal of Natural Sciences | 2017年 / 22卷 / 01期
基金：
中国国家自然科学基金;
关键词：
successive mean quantization transform(SMQT); Otsu algorithm; optimal threshold; image enhancement;
D O I：
暂无
中图分类号：
TP391.41 [];
学科分类号：
080203 ;
摘要：
To solve the problems of noise,detail loss and poor contrast in the successive mean quantization transform(SMQT),a new SMQT algorithm based on Otsu algorithm is proposed.In this algorithm,we integrate the optimal threshold selected by the Otsu algorithm into the SMQT algorithm,then obtain the successive mean quantization of the binary tree.By this algorithm,an enhanced image is output with a higher quality.From both subjective visual effect and objective quality evaluation,the experimental results show that the improved algorithm reduces noise,improves contrast and makes the image details more clear.
引用
收藏
页码：85 / 92
页数：8
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