Philip Prince, Jainwal Kapil, van Schaik Andre, Thakur Chetan Singh
IEEE Trans Biomed Circuits Syst. 2024 Apr;18(2):423-437. doi: 10.1109/TBCAS.2023.3332117. Epub 2024 Apr 1.
Developing precise artificial retinas is crucial because they hold the potential to restore vision, improve visual prosthetics, and enhance computer vision systems. Emulating the luminance and contrast adaption features of the retina is essential to improve visual perception and efficiency to provide an environment realistic representation to the user. In this article, we introduce an artificial retina model that leverages its potent adaptation to luminance and contrast to enhance vision sensing and information processing. The model has the ability to achieve the realization of both tonic and phasic cells in the simplest manner. We have implemented the retina model using 0.18 μm process technology and validated the accuracy of the hardware implementation through circuit simulation that closely matches the software retina model. Additionally, we have characterized a single pixel fabricated using the same 0.18 μm process. This pixel demonstrates an 87.7-% ratio of variance with the temporal software model and operates with a power consumption of 369 nW.
开发精确的人工视网膜至关重要，因为它们有恢复视力、改进视觉假体以及增强计算机视觉系统的潜力。模拟视网膜的亮度和对比度适应特性对于提高视觉感知和效率、为用户提供逼真的环境表示至关重要。在本文中，我们介绍一种人工视网膜模型，该模型利用其对亮度和对比度的强大适应能力来增强视觉传感和信息处理。该模型能够以最简单的方式实现紧张性和相位性细胞。我们已采用0.18μm工艺技术实现了视网膜模型，并通过与软件视网膜模型紧密匹配的电路仿真验证了硬件实现的准确性。此外，我们对采用相同0.18μm工艺制造的单个像素进行了特性分析。该像素与时间软件模型的方差比为87.7%，功耗为369nW。
