低照度环境下图像增强算法的FPGA实现

FPGA Implementation of Video Enhancement Algorithm in Low Illumination Conditions

摘要:

在低照度环境下,通用的图像传感器普遍存在成像效果不佳的情况,因此采用图像增强算法来提升图像对比度就显得尤为重要,然而大多数图像增强算法都是针对静态图像进行增强。为此,基于现有的图像增强算法,提出了一种改进的基于图像去雾的图像增强算法架构,该架构不仅利于FPGA实现,而且能够较好地增强视频的显示效果。测试结果表明:该算法占用FPGA资源较少,能够实时处理1080P60f/s的视频且增强效果良好。

Abstract:

General image sensors usually present poor imaging effect under low-light environment, thus it is important to improve the image contrast by using the image enhancement algorithms. However, most image enhancement algorithms for improving image contrast are based on static images. In this paper, an improved framework of image enhancement based on de-fog algorithms was proposed, it is not only benificial to FPGA realization, but also good for video enhancement. Test results show that the improved algorithm takes less FPGA logic resource and can process 1080P 60f/s video in real-time with a better contrast.