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A real-time contrast enhancement algorithm for infrared images based on plateau histogram

机译:基于高原直方图的红外图像实时对比度增强算法

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In this paper, a new self-adaptive contrast enhancement algorithm based on plateau histogram equalization for infrared images is presented. By analyzing the histogram of image, the threshold value is got self-adaptively. This new algorithm can enhance the contrast of targets in most infrared images greatly. The new algorithm has very small computational complexity while still produces high contrast output images, which makes it ideal to be implemented by FPGA (Field Programmable Gate Array) for real-time image process. This paper describes a simple and effective implementation of the proposed algorithm, including its threshold value calculation, by using pipeline and parallel computation architecture. The proposed algorithm is used to enhance the contrast of infrared images generated from an infrared focal plane array system and image contrast are improved significantly. Theoretical analysis and other experimental results also show that it is a very effective enhancement algorithm for most infrared images.
机译:提出了一种基于高原直方图均衡化的红外图像自适应对比度增强算法。通过分析图像的直方图,可以自适应地获得阈值。这种新算法可以大大增强大多数红外图像中目标的对比度。新算法的计算复杂度很小,同时仍然可以产生高对比度的输出图像,因此非常适合通过FPGA(现场可编程门阵列)进行实时图像处理。本文使用流水线和并行计算体系结构描述了所提出算法的一种简单有效的实现方法,包括其阈值计算。该算法用于增强红外焦平面阵列系统生成的红外图像的对比度,图像对比度得到了明显提高。理论分析和其他实验结果也表明,对于大多数红外图像来说,它是一种非常有效的增强算法。

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