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Extraocular Image Processing for Retinal Prosthesis Based on DSP

机译:基于DSP的视网膜假体的外插图像处理

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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 implmenting 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:人造视觉模拟表明,可能需要数千个电极来恢复外视网膜疾病的视觉。随着MEMS制造工艺的刺激电极阵列的制造过程,视网膜假体系的外置图像处理变得越来越重要。本文开发了一种用于视网膜假体的基于数字信号处理器(DSP)的外插图像处理系统(EIPS)。该系统主要由CMOS图像传感器和DSP处理系统组成,它提供了利用低功耗来实现实时图像处理的能力。此外,该系统通过编程,实现了在DSP上具有不同规格要求的各种图像处理算法的灵活性,例如不同的帧速率,分辨率和吞吐量数据速率。相关图像处理算法包括图像调整大小,颜色擦除,边缘增强和边缘检测。最后,为了实现更好的性能,已经评估了市场中不同DSP的速度。

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