Image enhancement algorithm in embedded network video monitoring system

Shengnan Xu, Lihui Yang
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引用次数: 2

Abstract

With the demand of image quality, a novel algorithm named MW-SVM is proposed for the enhancement of digital images based on mathematical morphology, watershed algorithm and SVM to remove noises and increase articulation. The MW-SVM algorithm is adopted in embedded network video monitoring system to improve video image quality. Firstly, the principle of MW-SVM algorithm and the structure of network video system are introduced briefly. Then, the system hardware structure, software structure and working principle are analyzed. Finally, the test images and parameters, including PSNR, MSE and ISNR, show that this system is reliable, stable and extensible. It will have meaningful practical value in embedded system development.
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嵌入式网络视频监控系统中的图像增强算法
针对图像质量的要求,提出了一种基于数学形态学、分水岭算法和支持向量机的数字图像增强算法MW-SVM,以去除噪声和提高清晰度。在嵌入式网络视频监控系统中采用MW-SVM算法来提高视频图像质量。首先,简要介绍了MW-SVM算法的原理和网络视频系统的结构。然后,分析了系统的硬件结构、软件结构和工作原理。最后,测试图像和参数,包括PSNR、MSE和ISNR,表明了该系统可靠、稳定和可扩展性。对嵌入式系统的开发具有重要的实用价值。
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