【摘要】 针对现有非均匀性校正方法中校正结果收敛速度慢、图像退化、存在"鬼影"现象等问题,提出一种空域三边滤波与时域梯度加权均值滤波相结合的红外序列图像非均匀性校正方法.该方法首先利用三边滤波将图像分解为基本分量与细节分量;然后对分离出的细节分量序列图像的时域曲线进行梯度加权均值滤波,从而分离出细节分量中非均匀性和场景细节;最后用原图减去非均匀性,得到校正结果.实验结果表明,该方法能有效地抑制"鬼影"并改善图像退化现象,校正结果无论主观视觉还是客观评价指标均明显优于时域高通与神经网络校正方法.更多还原

【Abstract】 To solve the problems of slow convergence,ghosting and scene degradation in non-uniformity correction methods,a non-uniformity correction method based on trilateral filter and gradient weighted average filter was introduced.Firstly,trilateral filter was used to decompose the image into basic component and detailed component.Then,in order to decompose the scene details and the non-uniformity of detailed component,image sequence of detail components were filtered by weighted average filter.Finally,the corrected result could be obtained through subtracting non-uniformity from the original image.The experimental results show that the method can significantly suppress the ghosting and the scene degradation.The results of correction are superior to the THPF-NUC and NN-NUC in the aspects of subjective visual and objective evaluation index.更多还原