DocumentCode
1800393
Title
An improved multi scale medical image enhancement algorithm
Author
Chen AiBin ; Sun XiaoJing ; Dong DeYi ; Liao Chao
Author_Institution
Coll. of Comput. & Inf. Eng., Central South Univ. of Forestry & Technol., ChangSha, China
fYear
2013
fDate
26-28 July 2013
Firstpage
8252
Lastpage
8255
Abstract
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.
Keywords
Gaussian processes; Laplace transforms; diagnostic radiography; feature extraction; image denoising; image enhancement; image reconstruction; image sequences; medical image processing; DR image decomposition; Laplace Gaussian pyramid model methods; band image sequence; dimensionality reduction; direct radiography images; edge character effect; frequency layer image characteristics; frequency layer image feature; high frequency decomposed image component; image processing algorithm; improved multiscale medical image enhancement algorithm; noise smoothing; reconstructed image illumination contrast; Biomedical imaging; Educational institutions; Electronic mail; Image enhancement; Laplace equations; Multimedia communication; Gauss; Image Processing; Laplacian; Laplacian Pyramid Decomposition; Multiscale;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2013 32nd Chinese
Conference_Location
Xi´an
Type
conf
Filename
6640897
Link To Document