RGB颜色模型
Spike(软件开发)
光电二极管
编码(内存)
光电子学
材料科学
计算机科学
图像传感器
发光二极管
人工智能
动态范围
光学
计算机视觉
物理
软件工程
作者
Ya‐Chi Huang,Yu‐Chieh Chen,Kuan‐Ting Chen,Chun‐Tao Chen,Li‐Chung Shih,Jen‐Sue Chen
出处
期刊:Small methods
[Wiley]
日期:2024-12-08
卷期号:9 (4): e2401502-e2401502
被引量:3
标识
DOI:10.1002/smtd.202401502
摘要
pulses changes the baseline level of spike rates. Remarkably, separate RGB channels offer a tunable encoding process, which can emphasize individual colors and correct color bias. The encoded spike rates are also fed into a spiking neural network (SNN) for CIFAR-10 pattern recognition, achieving an accuracy of 86%. The method allows the operation of SNN and shows the tunability in the process of light-to-spike encoding, opening possibilities for color image processing.
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