School of Information Science and Technology, Northwest University, Xi'an, P.R.China.
Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, P.R.China.
PLoS One. 2020 Sep 1;15(9):e0238259. doi: 10.1371/journal.pone.0238259. eCollection 2020.
This paper presents an improved method to estimate the blur parameters of motion deblurring algorithm for single image restoration based on the point spread function (PSF) in frequency spectrum. We then introduce a modification to the Radon transform in the blur angle estimation scheme with our proposed difference value vs angle curve. Subsequently, the auto-correlation matrix is employed to estimate the blur angle by measuring the distance between the conjugated-correlated troughs. Finally, we evaluate the accuracy, robustness and time efficiency of our proposed method with the existing algorithms on the public benchmarks and the natural real motion blurred images. The experimental results demonstrate that the proposed PSF estimation scheme not only could obtain a higher accuracy for the blur angle and blur length, but also demonstrate stronger robustness and higher time efficiency under different circumstances.
本文提出了一种改进的方法，用于基于频谱中点扩散函数（PSF）来估计运动去模糊算法的模糊参数，以实现单图像恢复。然后，我们在模糊角度估计方案中引入了对 Radon 变换的修改，使用我们提出的差值与角度曲线。随后，通过测量共轭相关波谷之间的距离，使用自相关矩阵来估计模糊角度。最后，我们在公共基准和自然真实运动模糊图像上，用现有的算法来评估我们提出的方法的准确性、鲁棒性和时间效率。实验结果表明，所提出的 PSF 估计方案不仅可以获得更高的模糊角度和模糊长度的准确性，而且在不同情况下还具有更强的鲁棒性和更高的时间效率。
