Adaptive clip-limit-based bi-histogram equalization algorithm for infrared image enhancement

Paul Abhisek; Sutradhar Tandra; Bhattacharya Paritosh; Maity Santi P.

摘要

Infrared (IR) images are basically low-contrast in nature; hence, it is essential to enhance the contrast of IR images to facilitate real-life applications. This work proposes a novel adaptive clip-limit-oriented bi-histogram equalization (bi-HE) method for enhancing IR images. HE methods are simple in implementation but often cause over-enhancement due to the presence of long spikes. To reduce long spikes, this work suggests to apply a log-power operation on the histogram, where the log operation reduces the long spikes, and power transformation regains the shape of the histogram. First, a histogram separation point is generated applying the mean of the multi-peaks o f the input histogram. After that, an alteration in the input histogram is done using the log-power process. Subsequently, a clipping operation on the altered histogram followed by redistribution of the clipped portion is performed to restrict over-enhancement. Next, the modified histogram is sub-divided using the histogram separation point. Finally, the modified sub-histograms are equalized independently. Simulation results show that the suggested method effectively improves the contrast of IR images. Visual quality evaluations and quantitative assessment demonstrate that the suggested method outperforms the state-of-the-art algorithms. (C) 2020 Optical Society of America

机译：红外（IR）图像在自然界基本上是低对比度的;因此，必须提高IR图像的对比度，以促进现实生活应用。这项工作提出了一种用于增强IR图像的新型自适应夹子限制的双直方图均衡（Bi-HE）方法。他的方法在实施中很简单，但由于长尖峰的存在，通常会导致过度增强。为了减少长尖峰，这项工作表明，在直方图上应用日志功率操作，其中日志操作减少了长尖峰，电源变换恢复了直方图的形状。首先，生成直方图分离点，其应用输入直方图的多峰值O F的平均值。之后，使用日志电源过程完成输入直方图的更改。随后，执行对改变的直方图的剪切操作，然后进行剪切部分重新分布以限制过度增强。接下来，使用直方图分离点来分割修改的直方图。最后，修改的子直方图独立均衡。仿真结果表明，建议的方法有效提高了红外图像的对比度。视觉质量评估和定量评估表明，建议的方法优于最先进的算法。（c）2020美国光学学会

Adaptive clip-limit-based bi-histogram equalization algorithm for infrared image enhancement

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