太阳射电图像的感知图像质量增强

Long Xu, Lin Ma, Zhuo Chen, Xianyou Zeng, Yihua Yan
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引用次数: 2

摘要

在太阳射电观测中,数据的可视化是非常重要的,因为它可以更直观、更清晰地向天文学家提供太阳射电活动的兴趣信息。在可视化方面,我们高度期望图像/视频具有良好的视觉质量,有利于观测数据记录的太阳射电事件的发现。现有的成像系统无法保证太阳射电数据可视化的良好视觉质量。针对太阳动力学观测台(SDO)的太阳射电极紫外(EUV)图像,提出了一种图像质量增强算法。首先,利用引导滤波器对图像进行平滑处理,得到具有良好骨架和边缘的图像;由于太阳射电活动的精细结构嵌入在太阳射电图像的高频成分中,我们提出了一种新的结构保持滤波方法,以放大原始输入图像的不同信号减去平滑信号。然后,将放大后的细节与平滑后的细节融合在一起,生成最终的增强图像。实验结果表明,所提出的图像质量增强算法能显著提高图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceptual image quality enhancement for solar radio image
In solar radio observation, the visualization of data is very important since it can more intuitively and clearly deliver interest information of solar radio activities to astronomers. As to visualization, we highly expect good visual quality of images/videos in favor of the discovery of solar radio events recorded by observation data. The existing imaging system cannot guarantee good visual quality of solar radio data visualization. In this paper, an image quality enhancement algorithm is developed to improve solar radio extreme ultraviolet (EUV) images from Solar Dynamics Observatory (SDO). Firstly, the guided filter is employed to smooth image, which outputs an image with good skeleton and edges. Since the fine structures of solar radio activities are embedded in high frequency components of a solar radio image, we propose a novel structure preserving filtering to amplify the different signal of original input image subtracting smoothed one. Afterwards, fusing the amplified details and smoothed one together, the final enhanced image is generated. The experimental results prove that the image quality is significantly improved by using the proposed image quality enhancement algorithm.
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