Abstract: The present invention relates to a saliency-based apparatus and methods for visual prostheses. A saliency-based component processes video data output by a digital signal processor before the video data are input to the retinal stimulator. In a saliency-based method, an intensity stream is extracted from an input image, feature maps based on the intensity stream are developed, plural most salient regions of the input image are detected and one of the regions is selected as a highest saliency region.

Abstract: Saliency-based apparatus and methods for visual prostheses are disclosed. A saliency-based component processes video data output by a digital signal processor before the video data are input to the retinal stimulator. In a saliency-based method, an intensity stream is extracted from an input image, feature maps based on the intensity stream are developed, plural most salient regions of the input image are detected and one of the regions is selected as a highest saliency region.

Abstract: The present invention is a saliency-based apparatus and methods for visual prostheses. A saliency-based component processes video data output by a digital signal processor before the video data are input to the retinal stimulator. In a saliency-based method, an intensity stream is extracted from an input image, feature maps based on the intensity stream are developed, plural most salient regions of the input image are detected and one of the regions is selected as a highest saliency region.

Abstract: The present invention is a method of neural stimulation and more specifically an improved method of providing flexible video/image possessing in a visual prosthesis by providing downloadable video filters. In a visual prosthesis, the input video image will, for the foreseeable future, be higher resolution than the output stimulation of the retina, optic nerve or visual cortex. This is due to limits of electrode array technology and the rapid advancement of video camera technology. It is therefore, advantageous to apply video processing algorithms (filters) to help provide the most useful information to the lower resolution electrode array. Different filters are more effective in different environments and for different subjects. Furthermore, filters will continue to improve over time. Examples of situation dependent filters include reverse image, contrast increasing, edge detection, segmentation using chromatic information and motion detection.

Abstract: The present invention is a method of neural stimulation and more specifically an improved method of providing flexible video/image possessing in a visual prosthesis by providing downloadable video filters. In a visual prosthesis, the input video image will, for the foreseeable future, be higher resolution than the output stimulation of the retina, optic nerve or visual cortex. This is due to limits of electrode array technology and the rapid advancement of video camera technology. It is therefore, advantageous to apply video processing algorithms (filters) to help provide the most useful information to the lower resolution electrode array. Different filters are more effective in different environments and for different subjects. Furthermore, filters will continue to improve over time. Examples of situation dependent filters include reverse image, contrast increasing, edge detection, segmentation using chromatic information and motion detection.

Abstract: Saliency-based apparatus and methods for visual prostheses are disclosed. A saliency-based component processes video data output by a digital signal processor before the video data are input to the retinal stimulator. In a saliency-based method, an intensity stream is extracted from an input image, feature maps based on the intensity stream are developed, plural most salient regions of the input image are detected and one of the regions is selected as a highest saliency region.

Abstract: The present invention is a method of neural stimulation and more specifically an improved method of providing flexible video/image possessing in a visual prosthesis by providing downloadable video filters. In a visual prosthesis, the input video image will, for the foreseeable future, be higher resolution than the output stimulation of the retina, optic nerve or visual cortex. This is due to limits of electrode array technology and the rapid advancement of video camera technology. It is therefore, advantageous to apply video processing algorithms (filters) to help provide the most useful information to the lower resolution electrode array. Different filters are more effective in different environments and for different subjects. Furthermore, filters will continue to improve over time. Examples of situation dependent filters include reverse image, contrast increasing, edge detection, segmentation using chromatic information and motion detection.