抑制红外焦平面阵列探测器噪声时,为了有效保持边缘细节,在塔基(Tukey)扩散模型的基础上,提出了一种基于各向异性扩散的滤波算法。算法由微分法提取边界点集,利用信号和噪声的空间分布特性对图像进行预处理,从而改善了Perona-Malik(P-M)方程的病态性。建立了新的扩散系数且该系数在理论上满足Charbonnier等人构造准则。通过给定边界条件实现了有利于保持边缘的目的。该算法已在基于DSP+FPGA的硬件平台上实时运行,较好地抑制了噪声,又有效地保持了边缘,处理后的图像具有良好的视觉效果。

To achieve better infrared focal plane array (IRFPA) noise suppression with minimum edge blurring, an anisotropic filtering algorithm is proposed based on Tukey model. This algorithm distills edge by differential, and then the image preprocessing is carried out to improve ill-posed problem of Perona-Malik (P-M) equation based on the distribution properties of signal and noise. A new diffusion coefficient was established to satisfy Charbonnier rule. Initialized edge conditions are presented to preserve edge. It has run on the DSP+FPGA platform, and has good effect in the respect of noise removal and edge preservation. The visual effect of the treated image is promoted.