An EAWA Filter for Denoising of Filtering of Fluorescein Angiogram Sequences
Xiaoxin Guo, Zhiwen Xu, Yinan Lu, Yunjie Pang · 2005
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 speci- fied requirements. Based on the novel model, a fluoresceinangiogram- 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 frameaveraging, 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 adaptively according to the intensity of each pixel.