Real-time implementation of a novel detail enhancement algorithm for thermal imager

Nerella Arun Mani Kumar, R. S, C. R. Patil
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引用次数: 0

Abstract

This paper presents real time implementation of a new detail enhancement algorithm to effectively visualize High Dynamic Range (HDR) InfraRed (IR) images on Low Dynamic Range (LDR) display with reduced noise amplification. Rendering real world IR images on state of the art display devices requires compression of HDR IR images without losing the perceptibility of details. The proposed algorithm is a combination of preprocessing module for detail enhancement and Dynamic Range Compression(DRC) for LDR display. In the preprocessing module, the base and detail components of input HDR image are obtained using bilateral filtering. The detail component of IR image is scaled and added back to its base component and then the resultant is compressed using DRC method for display on LDR monitors. MATLAB simulation and Real-Time implemented results show a significant improvement in the results obtained when a given DRC method is preceded by the proposed preprocessing module. The DRC algorithms referred here are AGC, classical Histogram Equalization, Histogram Projection and Adaptive Plateau Equalization. The real time implementation procedure of current proposed algorithm using xilinx Virtex-4 FPGA is explained.
一种新型热像仪细节增强算法的实时实现
本文提出了一种新的细节增强算法,在低动态范围(LDR)显示器上有效地显示高动态范围(HDR)红外(IR)图像,并降低了噪声放大。在最先进的显示设备上呈现真实世界的红外图像需要压缩HDR红外图像,而不会失去细节的可感知性。该算法结合了细节增强预处理模块和LDR显示动态范围压缩模块。在预处理模块中,通过双边滤波获得输入HDR图像的基分量和细节分量。将红外图像的细节分量进行缩放并加回其基本分量,然后使用DRC方法对结果进行压缩,以便在LDR显示器上显示。MATLAB仿真和实时实现结果表明,在给定的DRC方法之前加上所提出的预处理模块,得到的结果有显著改善。这里提到的DRC算法有AGC、经典直方图均衡化、直方图投影和自适应高原均衡化。介绍了当前算法在xilinx Virtex-4 FPGA上的实时实现过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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