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
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;
Conference_Titel :
Computer and Information Technology, 2005. CIT 2005. The Fifth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7695-2432-X
DOI :
10.1109/CIT.2005.67