title: Digital image processing for visual prosthesis: filtering implications.
abstract: Investigators around the world are working on retinal neurostimulation as it may restore functional vision to the blind. The image is captured by a camera and after being processed, a series of electrical stimuli are applied to the surviving ganglion cells of the retina. This visual perception is expected to have low resolution. Therefore, there is a need of new algorithms that present the information contained in a visual scene understandable to humans. This study presents a novel multi-resolution algorithm based on wavelet analysis to extract the useful features of an image. Participants in this experiment were able to configure a filter bank to complete a set of everyday tasks. This study shows that wavelet-based algorithms may facilitate improved functional performance in prosthetic vision.
authors.affiliation: Graduate School of Biomedical Engineering, University of New South Wales, NSW 2052, Australia.
authors.forename: Alejandro
authors.initials: A
authors.lastname: Barriga-Rivera
authors.forename: Gregg J
authors.initials: GJ
authors.lastname: Suaning
mesh_terms: D000465:Algorithms; D004558:Electric Stimulation; D006801:Humans; D057488:Visual Prosthesis