用真实扫描图像优化岩石图像超分辨，提升细节解析能力。
Enhancing digital core image resolution using optimal upscaling algorithm: with application to paired SEM images
- 基于SEM多倍率配对图像，筛选最优低分辨率生成方法
- 发现双线性插值优于双三次插值，适合作为超分辨输入
- 适用于地质岩心分析、孔隙结构研究等场景
多孔介质研究广泛使用数字岩心图像进行岩心分析。高分辨率且质量可靠的数字岩心图像至关重要，但获取困难。超分辨率（SR）技术可提升数字岩心图像分辨率，改善细小特征与结构的可视化，有助于分析岩石孔隙连通性及矿物分布。然而当前缺乏真实配对的显微图像用于超分辨率训练。本研究采用两种扫描电子显微镜（SEM）对五个区域的页岩样品在1X、2X、4X、8X和16X倍率下获取图像，利用这些真实配对图像作为参考，评估并验证了EDSR和VDSR方法的性能。实验表明，双线性算法比常用的双三次插值更适用于构建超分辨任务中的低分辨率数据集，这部分归因于扫描电子显微镜（SEM）的工作机制。
原文摘要 · Abstract (English)
The porous media community extensively utilizes digital rock images for core analysis. High-resolution digital rock images that possess sufficient quality are essential but often challenging to acquire. Super-resolution (SR) approaches enhance the resolution of digital rock images and provide improved visualization of fine features and structures, aiding in the analysis and interpretation of rock properties, such as pore connectivity and mineral distribution. However, there is a current shortage of real paired microscopic images for super-resolution training. In this study, we used two types of Scanning Electron Microscopes (SEM) to obtain the images of shale samples in five regions, with 1X, 2X, 4X, 8X and 16X magnifications. We used these real scanned paired images as a reference to select the optimal method of image generation and validated it using Enhanced Deep Super Resolution (EDSR) and Very Deep Super Resolution (VDSR) methods. Our experiments show that the bilinear algorithm is more suitable than the commonly used bicubic method, for establishing low-resolution datasets in the SR approaches, which is partially attributed to the mechanism of Scanning Electron Microscopes (SEM).
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