基于贝叶斯准则的闪光照相图像重建
Reconstruction of flash radiographic image based on Bayesian approach
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摘要: 针对闪光照相图像低信噪比的特点，研究了一种带约束的贝叶斯图像重建算法，较好地抑制了噪声对重建结果的影响，同时对细节信号具有较高的保持能力。该算法以贝叶斯重建为基础，在重建过程中考虑了闪光照相图像的受模糊影响比较严重的特点，引入了重建结果具有平滑性的先验信息进行约束，以提高重建结果的信噪比。通过在迭代过程中对重建结果进行平滑性约束以提高重建质量。数值模拟结果表明，该方法在闪光照相图像重建中具有较好的抗噪能力和边界保持能力。Abstract: A reconstruction algorithm is proposed for flash radiographic image with low signal-to-noise ratio. The algorithm is based on Bayesian principle, and uses smoothness constraint to handle the blurring effects caused by the X-ray source of radiography and imaging device. It is implemented with regularization schemes for performing tomographic image reconstruction from a single noisy projection. Numerical experimental results show that, in comparison with the conventional algebraic reconstruction technique, the algorithm has stronger ability of noise removal and edge preservation.
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Key words:
- radiography /
- image processing /
- image reconstruction /
- bayesian principle
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