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Extraocular image processing for retinal prosthesis based on DSP

机译:基于DSP的视网膜假体眼外图像处理

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Simulations of artificial vision suggest that thousands of electrodes may be required to restore vision for ones with diseases of the outer retina. With the development of MEMS fabrication process for the stimulation electrode array, extraocular image processing is becoming more and more important for the retinal prosthesis systems. A Digital Signal Processor (DSP) based extraocular image processing system (EIPS) for a retinal prosthesis has been developed in this paper. The system mainly consists of a CMOS image sensor and a DSP processing system, which provides the capability of implementing the real-time image processing with low power consumption. Furthermore, this system offers the flexibility of realizing various image processing algorithms with different specification requirements on the DSP by programming, such as different frame rate, resolution and throughput data rate. The related image processing algorithms include the image resizing, color erasing, edge enhancement and edge detection. Finally, the speed of different DSPs in the market has been evaluated and compared for achieving better performance.
机译:人工视觉的模拟表明,可能需要成千上万个电极来恢复患有外视网膜疾病的电极的视觉。随着用于刺激电极阵列的MEMS制造工艺的发展,眼外图像处理对于视网膜假体系统变得越来越重要。本文开发了一种基于数字信号处理器(DSP)的视网膜假体眼外图像处理系统(EIPS)。该系统主要由CMOS图像传感器和DSP处理系统组成,可提供以低功耗实现实时图像处理的功能。此外,该系统具有灵活性,可以通过编程(例如不同的帧速率,分辨率和吞吐量数据速率)在DSP上实现具有不同规格要求的各种图像处理算法。相关的图像处理算法包括图像大小调整,颜色擦除,边缘增强和边缘检测。最后,已评估并比较了市场上不同DSP的速度,以实现更好的性能。

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