DocumentCode
2828007
Title
An EAWA Filter for Denoising of Filtering of Fluorescein Angiogram Sequences
Author
Guo, Xiaoxin ; Xu, Zhiwen ; Lu, Yinan ; Pang, Yunjie
Author_Institution
Key Lab. of Symbol Comput. & Knowledge Eng., Jilin Univ., Changchun
fYear
2005
fDate
21-23 Sept. 2005
Firstpage
614
Lastpage
618
Abstract
In this paper, a novel filter model called extended adaptive weighted averaging (EAWA) filter model is proposed, by which some particular filters can be designed via selecting an appropriate pixel of interest (POI) and defining a weight distribution function for the filter according to some specified requirements. Based on the novel model, a fluorescein-angiogram-oriented filter, high-intensity preserving (HIP) filter is introduced to solve the problems of high-intensity preservation when filtering noise. The results of the experiments show that the HIP filter has the features of frame-averaging, which can achieve noise suppression efficiently, and the features of high-intensity preservation, which can keep the intensities of bright pixels from degrading via distributing the weights adoptively according to the intensity of each pixel
Keywords
adaptive filters; biomedical optical imaging; image denoising; image resolution; image sequences; medical image processing; EAWA filter; extended adaptive weighted averaging filter; fluorescein angiogram sequences filter; high-intensity preserving filter; noise suppression; pixel intensity; weight distribution function; Adaptive filters; Degradation; Distribution functions; Filtering; Fluorescence; Hip; Image analysis; Image sequences; Noise reduction; Retina;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology, 2005. CIT 2005. The Fifth International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7695-2432-X
Type
conf
DOI
10.1109/CIT.2005.67
Filename
1562721
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