title: Improved adaptive complex diffusion despeckling filter.
abstract: 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.
authors.affiliation: Center of New Technologies for Medicine, Association for Innovation and Biomedical Research on Light and Image, Pólo III, Azinhaga Sta. Comba, 3000-548 Coimbra, Portugal. rcb@aibili.pt
authors.forename: Rui
authors.initials: R
authors.lastname: Bernardes
authors.forename: Cristina
authors.initials: C
authors.lastname: Maduro
authors.forename: Pedro
authors.initials: P
authors.lastname: Serranho
authors.forename: Adérito
authors.initials: A
authors.lastname: Araújo
authors.forename: Sílvia
authors.initials: S
authors.lastname: Barbeiro
authors.forename: José
authors.initials: J
authors.lastname: Cunha-Vaz
mesh_terms: D004058:Diffusion; D005654:Fundus Oculi; D006801:Humans; D017711:Nonlinear Dynamics; D013997:Time Factors; D041623:Tomography, Optical Coherence / Q000295:instrumentation* / Q000379:methods*