Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images
Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images
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DOI：
10.1049/iet-ipr.2019.0319
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发表时间：
2020-01
期刊：
影响因子：
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通讯作者：
Yinhao Li;Katsuhisa Ogawa;Yutaro Iwamoto;Yenwei Chen
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文献类型：
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作者：
Yinhao Li;Katsuhisa Ogawa;Yutaro Iwamoto;Yenwei Chen
在这项研究中，作者提出了一种新的多帧超分辨率方法，使用帧选择和多个融合的大气失真，放大，图像质量增强。当将目标放置在距离固定摄像机几公里远的地方所拍摄的图像的一小部分被放大时，由于分辨率低、空间变形和主要由远距离和大气湍流引起的噪声，这部分图像的质量变差。因此，作者提出了一种自适应帧选择方法，该方法基于具有相对清晰边缘的对应图像仅选择具有小模糊的少数帧。此外，他们提出了多种融合方案来重建选定的帧，从而抑制变形的影响。通过将所有帧转换为基于每个帧的高分辨率并将它们整合，使用多重融合方案有效地去除变形和噪声，而不需要高的计算成本。所提出的方法增强了大气失真放大图像的质量，在高精度、效率和易于实现方面表现出比现有技术的图像超分辨率方法上级的性能，确保所提出的方法适合于增强使用普通数码相机或智能手机捕获的图像的质量。
In this study, the authors propose a novel multi-frame super-resolution method using frame selection and multiple fusions for atmospherically distorted, zoomed-in, image-quality enhancement. When a small part of the image captured by placing a target several kilometres away from the fixed camera is enlarged, the quality of the part becomes poor owing to low resolution, spatial deformations and noise that are mainly caused by long distance and atmospheric turbulence. Thus, the authors propose an adaptive frame selection method that selects only a few frames with small blur based on the corresponding images with relatively clear edges. Further, they propose multiple fusion schemes to reconstruct the selected frames, thereby suppressing the influence of deformation. By converting all the frames into high-resolution based on each frame and integrating them, deformation and noise are effectively removed without high computation cost using the multiple fusion scheme. The proposed method, which enhances the quality of atmospherically distorted zoomed-in images, exhibits superior performance than the state-of-the-art image super-resolution methods with regard to high accuracy, efficiency and ease of implementation, ensuring that the proposed method is suitable for enhancing the quality of an image captured using a general digital camera or a smartphone.