Image local fuzzy enhancement method based on Improved Wavelet Transform

被引:2
|
作者
He, Qing [1 ]
Pan, Feng [1 ]
机构
[1] Southwest JiaoTong Univ, Hope Coll, Chengdu 610400, Peoples R China
关键词
Improved wavelet transform; image local blur; fuzzy enhancement method; scale feature;
D O I
10.1109/ICMTMA52658.2021.00067
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to improve the application effectiveness of the image as the experimental contrast index, it is necessary to enhance the fuzzy region in the image. However, the existing enhancement methods have the problems of low scale feature extraction accuracy and unsatisfactory enhancement effect. Therefore, the improved wavelet transform is applied to the image fuzzy enhancement. Firstly, the wavelet basis function of wavelet transform is constructed, and the threshold is re selected to complete the reconstruction of wavelet transform. Based on the improved wavelet transform method, the fuzzy dot matrix and plane feature matrix of the local fuzzy region in the image are constructed. Finally, the image quality index and the mean value of the gradient are calculated to enhance the local fuzzy regions in the image. The experimental results show that the proposed method can effectively extract the scale features of the image, and the enhancement effect is significantly better than the literature comparison method, indicating that the proposed fuzzy enhancement method has strong applicability.
引用
收藏
页码:282 / 286
页数:5
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