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采用传统刀刃法提取PSF时,只有在刀刃边缘近似平行或垂直于采样方向情况下才能得到好的效果,这样限制了刀刃法提取PSF进行图像恢复的广泛应用。本文提出了一种稳健的基于倾斜刀刃的图像的PSF计算模型,不仅在提取理想刀刃状况下(与采样方向近似垂直或平行)与传统方法等价,而且对倾斜刀刃提取PSF进行图像恢复也能得到理想效果,所恢复的图像在峰值信噪比(PSNR),均方差测度(MSE)和信噪比(SNR)等方面,都要优于传统方法,利用任意倾角的刀刃边缘提取的PSF都可以基本达到理想刀刃所提取的PSF的效果,因而提高了刀刃法提取PSF进行图像恢复的鲁棒性和通用性。本文分别从理论和实践上论证了模型的有效性,并采用模拟实验数据和ADS40航空影像数据验证了方法的正确性。
The traditional method of blade extraction PSF, only in the edge of the edge approximately parallel or perpendicular to the sample direction to get good results, thus limiting the blade extraction PSF image recovery for a wide range of applications. In this paper, a robust PSF model based on tilted edges is proposed, which is not only equivalent to the traditional method but with ideal edge extraction (approximately perpendicular or parallel to the sampling direction), and the PSF can also be extracted from tilted edges The results obtained are better than the traditional methods in terms of peak signal to noise ratio (PSNR), mean square error measure (MSE) and signal to noise ratio (SNR), and the PSF recovered by the edge of any inclination Which can basically achieve the effect of the PSF extracted by the ideal blade, thus improving the robustness and versatility of the edge extraction PSF for image restoration. In this paper, the validity of the model is demonstrated theoretically and practically, and the correctness of the method is verified by using simulated experimental data and ADS40 aerial image data.