Pre-processing visual scenes for retinal prosthesis systems: A comprehensive review
Summary
This comprehensive review analyzes advancements in retinal prosthesis technology with emphasis on image processing and machine learning techniques. The review covers implantable devices and optogenetic strategies, delineating their advantages, limitations, and challenges. Various image processing algorithms and deep learning architectures implemented to enhance prosthetic device functionality are discussed.
Why it matters
Retinal prostheses can restore partial vision to blind individuals, but the quality of visual experience depends heavily on intelligent scene preprocessing. This review highlights how advances in computer vision and deep learning are being leveraged to optimize visual information for prosthetic encoding, bringing us closer to restoring functional vision that supports navigation and object recognition.
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