通过投影域特征提升工业CT图像质量，减少噪声。
A CT Image Denoising Method Based on Projection Domain Feature
- 利用相邻视角投影相似性快速降噪。
- 在数值模拟与实际数据中均验证有效。
- 适合需要高精度工业CT成像的场景。
为提升工业应用中投影图像质量，常规方法是增加电流或曝光时间，但这可能导致薄物体或背景区域探测器过曝。提高投影采样虽更优，但会引入显著重建图像噪声。本文提出一种基于投影域特征的去噪算法，利用相邻视角投影的相似性，高效降低噪声。该算法通过数值模拟和实际数据实验验证了有效性。
原文摘要 · Abstract (English)
In order to improve image quality of projection in industrial applications, generally, a standard method is to increase the current or exposure time, which might cause overexposure of detector units in areas of thin objects or backgrounds. Increasing the projection sampling is a better method to address the issue, but it also leads to significant noise in the reconstructed image. This paper proposed a projection domain denoising algorithm based on the features of the projection domain for this case. This algorithm utilized the similarity of projections of neighboring veiws to reduce image noise quickly and effectively. The availability of the algorithm proposed in this work has been conducted by numerical simulation and practical data experiments.
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