Paper Info
Title
An EAWA Filter for Denoising of Filtering of Fluorescein Angiogram Sequences
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
Year
DOI
Venue
2005
10.1109/CIT.2005.67
CIT
Keywords
Field
DocType
eawa filter,noise suppression,hip filter,extended adaptive weighted averaging filter,biomedical optical imaging,image resolution,adaptive weighted averaging,appropriate pixel,oriented filter,pixel intensity,image denoising,high-intensity preservation,adaptive filters,image sequences,fluorescein angiogram sequences filter,novel filter model,novel model,particular filter,fluorescein angiogram sequences,high-intensity preserving filter,weight distribution function,medical image processing,bright pixel,weight distribution
Computer vision,Filter (video),Root-raised-cosine filter,Computer science,Salt-and-pepper noise,Composite image filter,Artificial intelligence,Kernel adaptive filter,Adaptive filter,Bilateral filter,Filter design
Conference
ISBN
Citations 
PageRank 
0-7695-2432-X
1
0.37
References 
Authors
5
4
Name
Order
Citations
PageRank
Xiaoxin Guo1196.03
Zhiwen Xu2246.64
Yinan Lu3196.62
Yunjie Pang4185.61