利用深度学习进行大视场天文图像复原和超分辨率重建

IF 3.3 3区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS
Ma Long, Du Jiangbin, Zhao Jiayao, Wang Xuhao, Peng Yangfan
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引用次数: 0

摘要

现有的天文图像复原和超分辨率重建方法在处理大视场图像时存在效率低、效果差等问题。此外,这些方法通常只能处理固定大小的图像,需要分步处理,很不方便。本文提出了一种名为 "Res&RecNet "的神经网络,用于直接成像仪器大视场天文图像的修复和超分辨率重建。该网络执行特征提取、特征校正和渐进生成,以实现图像复原和超分辨率重建。该网络使用全卷积层构建,可处理任何大小的图像。该网络可使用小样本进行训练,并能以端到端的方式执行图像复原和超分辨率重建,从而实现高效率。实验结果表明,该网络在处理复杂场景的天文图像方面非常有效,生成的图像修复结果比现有最佳算法的峰值信噪比(PSNR)和结构相似性指数(SSIM)分别提高了 4.69(dB)/0.073,超分辨率重建结果比现有最佳算法的 PSNR 和 SSIM 分别提高了 1.97(dB)/0.077。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large-field Astronomical Image Restoration and Superresolution Reconstruction using Deep Learning
The existing astronomical image restoration and superresolution reconstruction methods have problems such as low efficiency and poor results when dealing with images possessing large fields of view. Furthermore, these methods typically only handle fixed-size images and require step-by-step processing, which is inconvenient. In this paper, a neural network called Res&RecNet is proposed for the restoration and superresolution reconstruction of astronomical images with large fields of view for direct imaging instruments. This network performs feature extraction, feature correction, and progressive generation to achieve image restoration and superresolution reconstruction. The network is constructed using fully convolutional layers, allowing it to handle images of any size. The network can be trained using small samples and can perform image restoration and superresolution reconstruction in an end-to-end manner, resulting in high efficiency. Experimental results show that the network is highly effective in terms of processing astronomical images with complex scenes, generating image restoration results that improve the peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) by 4.69 (dB)/0.073 and superresolution reconstruction results that improve the PSNR and SSIM by 1.97 (dB)/0.077 over those of the best existing algorithms, respectively.
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来源期刊
Publications of the Astronomical Society of the Pacific
Publications of the Astronomical Society of the Pacific 地学天文-天文与天体物理
CiteScore
6.70
自引率
5.70%
发文量
103
审稿时长
4-8 weeks
期刊介绍: The Publications of the Astronomical Society of the Pacific (PASP), the technical journal of the Astronomical Society of the Pacific (ASP), has been published regularly since 1889, and is an integral part of the ASP''s mission to advance the science of astronomy and disseminate astronomical information. The journal provides an outlet for astronomical results of a scientific nature and serves to keep readers in touch with current astronomical research. It contains refereed research and instrumentation articles, invited and contributed reviews, tutorials, and dissertation summaries.
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