Image Analysis, Information Theory and Prosthetic Vision
Recent years have seen markedly improved clinical outcomes in cochlear implantees. This improvement is largely attributed to improvements in speech processing algorithms. In light of these improvements, researchers are prompted to ask, “Could image analysis improve clinical outcomes in retinal implantees?” We discuss our approach to image analysis, microelectronic retinal prostheses, and the perception of low-resolution images, which we believe can be used to help constrain the design of an implant. We hope that our approach, and developments thereof, will ultimately contribute to improved clinical outcomes in retinal implantees.
KeywordsTracking Performance Cochlear Implantees Visual Modeling Phosphene Image Bivariate Function
Artificial preferred retinal locus
We thank Shaun Cloherty for comments on an early draft of the manuscript.
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