Image Restoration Method for Non-uniform Blurred Images
Image Restoration Method for Non-uniform Blurred Images
复制标题
非均匀模糊图像的图像恢复方法
DOI：
10.1109/ist.2018.8577084
复制
发表时间：
2018
期刊：
影响因子：
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通讯作者：
Haifeng Chen and Reo Aoki
中科院分区：
文献类型：
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作者：
Tomio Goto;Hiroki Senshiki;Masanao Sawada;Haifeng Chen and Reo Aoki
盲图像去模糊是利用一幅模糊图像恢复清晰的潜像，它是一个求解潜像和点扩散函数的不适定问题。在本文中，我们提出了一种新的PSF估计方法，利用总变分正则化，冲击滤波器，和梯度的可靠性程度的非均匀模糊图像。实验结果表明，我们提出的方法提供了最好的性能，目前可用的方法去模糊性能。此外，我们提出的方法的处理时间是非常短的，并获得清晰的图像为实际（现实生活中）的图片。
Blind image deblurring, which restores a clear latent image using a single blurred image, is an ill-posed problem to fmd two unknowns: the latent image and the point spread function (PSF). In this paper, we propose a novel PSF estimation method utilizing total variation regularization, a shock filter, and the gradient degree of reliability for non-uniform blurred images. The experimental results demonstrate that our proposed method delivers the best performance of the currently available methods with respect to deblurring performance. Furthermore, the processing time for our proposed method is very short, and clear images are obtained for actual (real-life) pictures.