An Improved Adaptive Correction Algorithm For Non-uniform Illumination Panoramic Image

Pengfei Han, Dianwei Wang, Xu Yang, Y. Liu, Da-xiang Li, Zhijie Xu, Jing Wang
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引用次数: 4

Abstract

An adaptive non-uniform illumination panoramic image enhancement algorithm was proposed, which can improve the visual effect of panoramic images captured under non-uniform illumination. Firstly, according to the illuminance-reflection imaging model, we adopt a bilateral filtering method to decompose the brightness into illuminance component and reflection component. Secondly, an adaptive gamma correction function is constructed, which can dynamically adjust the illuminance component. In the reflection component processing, an improved morphological operation is proposed to denoise and enhance the image details. Finally, we combine the illumination component with the reflection component to get the enhanced panoramic image. The experimental results show that the proposed algorithm can improve the effect of non-uniform illumination on the panoramic image, and can obtain better image contrast, detail information and visual effect.
一种改进的非均匀光照全景图像自适应校正算法
提出了一种自适应非均匀光照全景图像增强算法,可以改善非均匀光照下全景图像的视觉效果。首先,根据照度-反射成像模型,采用双边滤波方法将亮度分解为照度分量和反射分量;其次,构造自适应伽玛校正函数,实现对照度分量的动态调整;在反射分量处理中,提出了一种改进的形态学运算来去噪和增强图像细节。最后,结合光照分量和反射分量得到增强的全景图像。实验结果表明,该算法可以改善非均匀光照对全景图像的影响,获得更好的图像对比度、细节信息和视觉效果。
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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