An Improved Multi Scale Medical Image Enhancement Algorithm

被引：0

作者：

Chen AiBin ^{[1
]}

Sun XiaoJing ^{[1
]}

Dong DeYi ^{[1
]}

Liao Chao ^{[1
]}

机构：

[1] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Hunan, Peoples R China

来源：

2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年

关键词：

Laplacian Pyramid Decomposition; Gauss; Laplacian; Multiscale; Image Processing;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The original DR image is decomposed into different scale and frequency of the band image sequence by using Laplace gaussian pyramid model methods. Using multi-scale image enhancement algorithm to enhance the High frequency component of the decomposed image, Then adjust the light of the low frequency part to make the reconstructed image illumination contrast more reasonable. The enhanced process according to different frequency layer image feature make the different gain weight for the different frequency layer image characteristics, so different frequency image layer realize respectively noise smoothing, dimensionality reduction and enhance the effect of edge character. The simulation experiments showed that this Image Processing Algorithm effect is very good.

引用

页码：8252 / 8255

页数：4