Optimization of Visual Information Presentation for Visual Prosthesis
Visual prosthesis applying electrical stimulation to restore visual function for the blind has promising prospects. However, due to the low resolution, limited visual field, and the low dynamic range of the visual perception, huge loss of information occurred when presenting daily scenes. The abilit...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2018/3198342 |
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| _version_ | 1850233592581455872 |
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| author | Fei Guo Yuan Yang Yong Gao |
| author_facet | Fei Guo Yuan Yang Yong Gao |
| author_sort | Fei Guo |
| collection | DOAJ |
| description | Visual prosthesis applying electrical stimulation to restore visual function for the blind has promising prospects. However, due to the low resolution, limited visual field, and the low dynamic range of the visual perception, huge loss of information occurred when presenting daily scenes. The ability of object recognition in real-life scenarios is severely restricted for prosthetic users. To overcome the limitations, optimizing the visual information in the simulated prosthetic vision has been the focus of research. This paper proposes two image processing strategies based on a salient object detection technique. The two processing strategies enable the prosthetic implants to focus on the object of interest and suppress the background clutter. Psychophysical experiments show that techniques such as foreground zooming with background clutter removal and foreground edge detection with background reduction have positive impacts on the task of object recognition in simulated prosthetic vision. By using edge detection and zooming technique, the two processing strategies significantly improve the recognition accuracy of objects. We can conclude that the visual prosthesis using our proposed strategy can assist the blind to improve their ability to recognize objects. The results will provide effective solutions for the further development of visual prosthesis. |
| format | Article |
| id | doaj-art-0bc5fb25a1f941bb92a4c4834eaa3adf |
| institution | OA Journals |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-0bc5fb25a1f941bb92a4c4834eaa3adf2025-08-20T02:02:54ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962018-01-01201810.1155/2018/31983423198342Optimization of Visual Information Presentation for Visual ProsthesisFei Guo0Yuan Yang1Yong Gao2Xi’an University of Technology, School of Electronics Engineering, No. 5 South Jinhua Road, Xi’an 710048, ChinaXi’an University of Technology, School of Electronics Engineering, No. 5 South Jinhua Road, Xi’an 710048, ChinaXi’an University of Technology, School of Electronics Engineering, No. 5 South Jinhua Road, Xi’an 710048, ChinaVisual prosthesis applying electrical stimulation to restore visual function for the blind has promising prospects. However, due to the low resolution, limited visual field, and the low dynamic range of the visual perception, huge loss of information occurred when presenting daily scenes. The ability of object recognition in real-life scenarios is severely restricted for prosthetic users. To overcome the limitations, optimizing the visual information in the simulated prosthetic vision has been the focus of research. This paper proposes two image processing strategies based on a salient object detection technique. The two processing strategies enable the prosthetic implants to focus on the object of interest and suppress the background clutter. Psychophysical experiments show that techniques such as foreground zooming with background clutter removal and foreground edge detection with background reduction have positive impacts on the task of object recognition in simulated prosthetic vision. By using edge detection and zooming technique, the two processing strategies significantly improve the recognition accuracy of objects. We can conclude that the visual prosthesis using our proposed strategy can assist the blind to improve their ability to recognize objects. The results will provide effective solutions for the further development of visual prosthesis.http://dx.doi.org/10.1155/2018/3198342 |
| spellingShingle | Fei Guo Yuan Yang Yong Gao Optimization of Visual Information Presentation for Visual Prosthesis International Journal of Biomedical Imaging |
| title | Optimization of Visual Information Presentation for Visual Prosthesis |
| title_full | Optimization of Visual Information Presentation for Visual Prosthesis |
| title_fullStr | Optimization of Visual Information Presentation for Visual Prosthesis |
| title_full_unstemmed | Optimization of Visual Information Presentation for Visual Prosthesis |
| title_short | Optimization of Visual Information Presentation for Visual Prosthesis |
| title_sort | optimization of visual information presentation for visual prosthesis |
| url | http://dx.doi.org/10.1155/2018/3198342 |
| work_keys_str_mv | AT feiguo optimizationofvisualinformationpresentationforvisualprosthesis AT yuanyang optimizationofvisualinformationpresentationforvisualprosthesis AT yonggao optimizationofvisualinformationpresentationforvisualprosthesis |