Image processing and interface for retinal visual prostheses

Wentai Liu; Wolfgang Fink; Mark Tarbell; Mohanasankar Sivaprakasam

doi:10.1109/ISCAS.2005.1465240

Image processing and interface for retinal visual prostheses

Wentai Liu
, Wolfgang Fink
, Mark Tarbell
, Mohanasankar Sivaprakasam

Research output: Contribution to journal › Conference article › peer-review

26 Scopus citations

Abstract

Controlled electrical stimulation of the retina can result in visual percepts in blind patients. In contrast to the over 100,000,000 photoreceptors in a healthy retina, even hundreds of pixels/electrodes of a retinal implant may restore low-resolution vision for unaided mobility and large print reading. We describe the real-time application of image processing techniques such as contrast and brightness enhancement, grayscale histogram equalization, edge detection, and grayscale reduction, to enhance visual perception provided by a retinal implant. We discuss schemes for reducing the amount of data transmitted wirelessly to the implant, as well as the interface between the external imaging unit and retinal implant.

Original language	English (US)
Article number	1465240
Pages (from-to)	2927-2930
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/ISCAS.2005.1465240
State	Published - 2005
Externally published	Yes
Event	IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan Duration: May 23 2005 → May 26 2005

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ISCAS.2005.1465240

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title = "Image processing and interface for retinal visual prostheses",

abstract = "Controlled electrical stimulation of the retina can result in visual percepts in blind patients. In contrast to the over 100,000,000 photoreceptors in a healthy retina, even hundreds of pixels/electrodes of a retinal implant may restore low-resolution vision for unaided mobility and large print reading. We describe the real-time application of image processing techniques such as contrast and brightness enhancement, grayscale histogram equalization, edge detection, and grayscale reduction, to enhance visual perception provided by a retinal implant. We discuss schemes for reducing the amount of data transmitted wirelessly to the implant, as well as the interface between the external imaging unit and retinal implant.",

author = "Wentai Liu and Wolfgang Fink and Mark Tarbell and Mohanasankar Sivaprakasam",

year = "2005",

doi = "10.1109/ISCAS.2005.1465240",

language = "English (US)",

pages = "2927--2930",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 ; Conference date: 23-05-2005 Through 26-05-2005",

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TY - JOUR

T1 - Image processing and interface for retinal visual prostheses

AU - Liu, Wentai

AU - Fink, Wolfgang

AU - Tarbell, Mark

AU - Sivaprakasam, Mohanasankar

PY - 2005

Y1 - 2005

N2 - Controlled electrical stimulation of the retina can result in visual percepts in blind patients. In contrast to the over 100,000,000 photoreceptors in a healthy retina, even hundreds of pixels/electrodes of a retinal implant may restore low-resolution vision for unaided mobility and large print reading. We describe the real-time application of image processing techniques such as contrast and brightness enhancement, grayscale histogram equalization, edge detection, and grayscale reduction, to enhance visual perception provided by a retinal implant. We discuss schemes for reducing the amount of data transmitted wirelessly to the implant, as well as the interface between the external imaging unit and retinal implant.

AB - Controlled electrical stimulation of the retina can result in visual percepts in blind patients. In contrast to the over 100,000,000 photoreceptors in a healthy retina, even hundreds of pixels/electrodes of a retinal implant may restore low-resolution vision for unaided mobility and large print reading. We describe the real-time application of image processing techniques such as contrast and brightness enhancement, grayscale histogram equalization, edge detection, and grayscale reduction, to enhance visual perception provided by a retinal implant. We discuss schemes for reducing the amount of data transmitted wirelessly to the implant, as well as the interface between the external imaging unit and retinal implant.

UR - https://www.scopus.com/pages/publications/34047172698

UR - https://www.scopus.com/pages/publications/34047172698#tab=citedBy

U2 - 10.1109/ISCAS.2005.1465240

DO - 10.1109/ISCAS.2005.1465240

M3 - Conference article

AN - SCOPUS:34047172698

SN - 0271-4310

SP - 2927

EP - 2930

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

M1 - 1465240

T2 - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

Y2 - 23 May 2005 through 26 May 2005

ER -

Image processing and interface for retinal visual prostheses

Abstract

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