Robust Identification of Motion Blur Parameters by Using Angles of Gradient Vectors

M. Sakano, N. Suetake, E. Uchino
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引用次数: 4

Abstract

The estimation of the point-spread function (PSF) is one of very important and indispensable tasks for the practical image restoration. Especially, for the motion blur, various PSF estimation algorithms have been developed so far. However, a majority of them becomes useless in the highly noisy environment. This paper describes a new robust PSF estimation algorithm based on Hough transform concerning gradient vectors, which can accurately and robustly estimate the motion blur PSF even in highly noisy case. The effectiveness and validity of the proposed algorithm are verified by applying it to the PSF estimation for noisy and motion blurred images.
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基于梯度矢量角度的运动模糊参数鲁棒识别
点扩散函数(PSF)的估计是实际图像恢复中不可缺少的重要任务之一。特别是对于运动模糊,目前已经开发了各种PSF估计算法。然而,它们中的大多数在高度嘈杂的环境中变得无用。本文提出了一种基于梯度向量Hough变换的鲁棒PSF估计算法,该算法可以在高噪声情况下准确鲁棒地估计运动模糊PSF。将该算法应用于噪声和运动模糊图像的PSF估计,验证了算法的有效性。
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