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基于FPGA的轻量级和实时红外图像处理器

Xiaoqing Wang^1,2, Xiang He³, Xiangyu Zhu³

¹Center for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements (MOE), School of Physics, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)

|February 24, 2024

概括

本研究介绍了一种基于FPGA的新型红外图像处理器,利用硬件优化的算法实现实时性能. 处理器有效地纠正传感器的不均性,并补偿盲点像素,同时保留图像细节,提供更低的功耗.

科学领域:

电气工程电气工程
计算机工程计算机工程
图像处理图像处理

背景情况:

红外成像系统经常遭受传感器不均和有缺陷的像素,降低图像质量.
红外图像的实时处理需要高效的算法和硬件加速.
现有的解决方案可能具有高资源开销或高功耗.

研究的目的:

使用FPGA技术开发一种轻量级的实时红外图像处理器.
实施面向硬件的算法来纠正不均性和盲点像素补偿.
为了优化处理器以实现最小的资源利用和低功耗.

主要方法:

实现传感器非统一性校准的两点校正算法.
使用一级近似方法开发一个盲点检测算法.
应用侧窗过方法用于盲点补偿与同时卷积内核计算.
整合轻量级组图平衡,以增强视觉观察.
在Xilinx XC7A100T-2 FPGA上的硬件实现.

主要成果:

实现了对640x480分辨率图像的实时不均性校正.
有效补偿盲点像素,同时保留图像细节.
处理器使用了10,894个LUT,9367个FF,4个BRAM和5个DSP48.
在50MHz时钟下以每秒30的速度运行,耗电1800mW.
最大运行频率达到了186 MHz.

结论:

拟议的基于FPGA的红外图像处理器为实时图像处理提供了轻量级和高效的解决方案.
实施的算法提供了有效的非统一性校正和盲点补偿,使用最小的资源开销.
该设计的功耗低于现有的类似工程,因此适用于各种红外成像应用.

关键词:

边缘保护过器过器现场可编程的门阵列.红外图像处理红外图像处理不统一性纠正不统一性的纠正

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