Abstract Systematic studies have been carried out on pure p-n-nonyloxy benzoic acid and dispersed citrate capped gold nanoparticles in low molar concentration. The phase transition temperatures are acquired from polarizing thermal microscope and differential scanning calorimeter, which are found to reduce with the increase in concentration of nanoparticles. Low contrast images from POM are enhanced with proposed methods of advanced recursive separated exposure-based sub-image histogram equalization (ARS-ESIHE) and advanced recursive exposure-based sub-image histogram Equalization (AR-ESIHE). The image enhancement performance characteristics are analyzed using statistical parameters like mean square error (MSE), peak signal-to-noise ratio (PSNR), standard deviation (SD) and entropy.

中文翻译：

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基于 AR-ESIHE 和 ARS-ESIHE 的 9oba 纯和纳米分散液晶化合物的图像增强方法

摘要 对低摩尔浓度的纯对壬氧基苯甲酸和分散的柠檬酸盐封端的金纳米粒子进行了系统研究。从偏光热显微镜和差示扫描量热仪获得相变温度，发现随着纳米颗粒浓度的增加而降低。来自 POM 的低对比度图像通过提出的基于递归分离曝光的子图像直方图均衡化 (ARS-ESIHE) 和基于递归曝光的高级递归子图像直方图均衡化 (AR-ESIHE) 的方法得到增强。使用均方误差 (MSE)、峰值信噪比 (PSNR)、标准偏差 (SD) 和熵等统计参数分析图像增强性能特征。