Visual prosthesis applying electrical stimulation to restore visual function for the blind has promising prospects. However, due\nto the low resolution, limited visual field, and the low dynamic range of the visual perception, huge loss of information occurred\nwhen presenting daily scenes. The ability of object recognition in real-life scenarios is severely restricted for prosthetic users. To\novercome the limitations, optimizing the visual information in the simulated prosthetic vision has been the focus of research.This\npaper proposes two image processing strategies based on a salient object detection technique. The two processing strategies enable\nthe prosthetic implants to focus on the object of interest and suppress the background clutter. Psychophysical experiments show\nthat techniques such as foreground zooming with background clutter removal and foreground edge detection with background\nreduction have positive impacts on the task of object recognition in simulated prosthetic vision. By using edge detection and\nzooming technique, the two processing strategies significantly improve the recognition accuracy of objects.We can conclude that\nthe visual prosthesis using our proposed strategy can assist the blind to improve their ability to recognize objects. The results will\nprovide effective solutions for the further development of visual prosthesis
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