一种新的闪光照相CCD图像的扩散滤波方法

A new method of diffusion filtering for flash X-ray radiographic CCD image

1.
Institute of Fluid Physics, China Academy of Engineering Physics, Mianyang 621900, Sichuan, China

摘要: 为了提高闪光CCD图像质量，提出了基于偏微分方程（partial differential equation， PDE）的智能中值-非线性扩散滤波(intelligent median-nonlinear diffusion filtering， IMNDF)方法，充分发挥了智能中值滤波和非线性扩散滤波的优势。数值实验结果证明，该方法对于两类最具代表性的噪声（高斯和脉冲）的混合问题有很好的消噪效果，其信噪比改善因子（promotion of signal-to-noise ratio， PSNR）较传统方法提高了3~5倍。对闪光照相CCD图像取得了很好的消噪声结果。
- 爆炸力学 /
- 图像消噪 /
- 非线性扩散 /
- 闪光照相 /
- PDE
Abstract: In order to improve CCD images received from the flash X-ray radiography, a new method called intelligent median-nonlinear diffusion filtering (IMNDF) were proposed based on nonlinear Partial Differential Equation (PDE). This method takes the advantage of both the intelligent median filter and the nonlinear diffusion filter. The numerical results show that the proposed method can eliminate the combination of Gaussian noise and impulse noise efficiently with edge-preserving. The PSNR (promotion of signal-to-noise ratio) of the new method is 3~5 times larger than that of the traditional methods. Well denoised results were obtained for flash X-ray radiographic CCD images.
- mechanics of explosion /
- image denoising /
- nonlinear diffusion /
- flash X-ray radiography /
- PDE