CAJ | 학술논문

针对气动光学效应引起的图像模糊退化导致复原处理困难的问题，提出了一种气动退化红外图像的改进复原算法。具体做法是：在假设退化图像的点扩散函数服从高斯分布的前提下，对图像进行带参数维纳滤波，在此过程中，使用图像清晰度评价函数作为复原效果的评价实现了算法中参数的最优化。通过多组仿真实验和算法的对比分析表明，算法较好地保持了图像细节，较好地恢复了图像质量，实时性较好。
침대기동광학효응인기적도상모호퇴화도치복원처리곤난적문제，제출료일충기동퇴화홍외도상적개진복원산법。구체주법시：재가설퇴화도상적점확산함수복종고사분포적전제하，대도상진행대삼수유납려파，재차과정중，사용도상청석도평개함수작위복원효과적평개실현료산법중삼수적최우화。통과다조방진실험화산법적대비분석표명，산법교호지보지료도상세절，교호지회복료도상질량，실시성교호。
To address the difficulty in restoration of aero degraded infrared image due to aero-optical effects, an improved restora- tion algorithm of aero degraded infrared image is proposed. First, wiener filtering is conducted assuming that the point spread function （PSF） is subject to Gaussian distribution. During this process, image definition evaluation function is used for evaluation of restoration effect to achieve optimization. Numerical experiment results and comparisons show that this algorithm is better in detail-preserving and deblurring of aero degraded infrared image. The real time performance is also better.