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Muti-scale image enhancement based on properties of human visual system

机译:基于人类视觉系统特性的多尺度图像增强

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The logarithmic image processing (LIP) model is a mathematical framework which has been proved to be consistent with several laws and fit characteristics of the human visual system. In this paper, we both utilize this LIP model and consider characteristics of the human visual system (HVS) to propose a new multi-scale enhancement algorithm. Then a new measure of enhancement based on JND model (Just Noticeable Difference, JND) of human visual system is proposed and used as a tool for evaluating the performance of the enhancement technique. Finally, the proposed algorithm's performance is compared quantitatively to several popular image enhancement algorithms, and experimental results show that the propose algorithm can adjust the image dynamic range, enhance the image details and achieve a more pleasing and comfortable image.
机译:对数图像处理(LIP)模型是一个数学框架,已被证明与人类视觉系统的若干定律和拟合特征一致。在本文中,我们都利用了这种LIP模型,并考虑了人类视觉系统(HVS)的特征,提出了一种新的多尺度增强算法。然后,提出了一种基于人类视觉系统的JND模型(Just Noticeable Difference,JND)的增强措施,并将其用作评估增强技术性能的工具。最后,将该算法的性能与几种常用的图像增强算法进行了定量比较,实验结果表明,该算法可以调节图像的动态范围,增强图像细节,获得更加舒适舒适的图像。

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