Motion deblurring using the similarity of the multiscales
Motion deblurring using the similarity of the multiscales
复制标题
利用多尺度的相似性进行运动去模糊
DOI：
10.1016/j.ijleo.2014.09.014
复制
发表时间：
2015-01-01
期刊：
影响因子：
3.1
通讯作者：
Sun, Jinqiu
中科院分区：
文献类型：
--
作者：
Li, Haisen;Zhang, Yanning;Sun, Jinqiu
当使用手持式相机捕获图像时，尤其是当曝光时间较长时，运动模糊广泛存在。为了得到满意的潜像，人们提出了许多运动去模糊方法，但这些方法的去模糊结果往往存在一些伪影。本文通过引入多尺度相似性，提出了一种图像盲去模糊方法。考虑到不同尺度间潜像的相似性，将其作为先验，将估计的潜像约束为与预尺度相似，以减少反卷积产生的伪影。实验结果表明，该方法比现有方法具有更好的去模糊效果，且伪影较少。(C)2014 Elsevier GmbH. All rights reserved.
Motion blur exists widely when the image is captured using a hand-held camera, especially when the exposure time is long. Many motion deblurring methods have been proposed to estimate a satisfying latent image; however, these always exist some artifacts in the deblurring result. In this paper, via introducing the similarity of multiscales, a blind image deblurring method is proposed. Considering similarity of the latent image between different scales, it is used as a prior to constrain the estimated latent image similar as pre-scale to reduce artifacts which result from deconvolution. Experiments indicate that the proposed method could obtain better performance than the state-of-the-art methods, and could obtain satisfying deblurring result with fewer artifacts. (C) 2014 Elsevier GmbH. All rights reserved.