Improved adaptive complex diffusion despeckling filter

Despeckling optical coherence tomograms from the human retina is a fundamental step to a better diagnosis or as a preprocessing stage for retinal layer segmentation. Both of these applications are particularly important in monitoring the progression of retinal disorders. In this study we propose a n...

Full description

Bibliographic Details
Main Author: Bernardes, Rui (author)
Other Authors: Maduro, Cristina (author), Serranho, Pedro (author), Araújo, Adérito (author), Barbeiro, Sílvia (author), Cunha-Vaz, José (author)
Format: article
Language:eng
Published: 2011
Subjects:
Speckle
Spatial filtering
Image processing
Optical coherence tomography
Ophthalmology
Optical diagnostics for medicine
Online Access:http://hdl.handle.net/10400.2/1956
Country:Portugal
Oai:oai:repositorioaberto.uab.pt:10400.2/1956
Description
Summary:Despeckling optical coherence tomograms from the human retina is a fundamental step to a better diagnosis or as a preprocessing stage for retinal layer segmentation. Both of these applications are particularly important in monitoring the progression of retinal disorders. In this study we propose a new formulation for a well-known nonlinear complex diffusion filter. A regularization factor is now made to be dependent on data, and the process itself is now an adaptive one. Experimental results making use of synthetic data show the good performance of the proposed formulation by achieving better quantitative results and increasing computation speed.

Similar Items