A Novel Blind Motion Blur Restoration Algorithm for Text Images
A Novel Blind Motion Blur Restoration Algorithm for Text Images
复制标题
一种新颖的文本图像盲运动模糊恢复算法
DOI：
10.1049/cje.2019.12.001
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发表时间：
2020
影响因子：
1.2
通讯作者：
Zhuo Li
中科院分区：
文献类型：
--
作者：
Wang Simin;Li Xiaoguang;Zhang Hui;Zhuo Li
由于曝光期间相机和目标之间复杂的相对运动，监控系统或手持相机捕获的文本图像经常会出现运动模糊。核估计的准确性和清晰文本图像的有效先验是盲运动去模糊的两个重要关键。针对复杂场景中的文本图像，提出了一种新颖的盲运动去模糊算法。选择信息边缘的标准和L 0 约束相结合以提高核估计的准确性。然后，应用快速非盲反卷积方案来加速算法。文本图像上的实验结果表明，该方法能够以较低的计算复杂度获得高质量的结果。
Text images captured by the surveillance system or hand-hold cameras often suffer from motion blur due to the complex relative motion between the camera and the target during the exposure time. The accuracy of the kernel estimation and the effective priors for clear text images are two important keys in blind motion deblurring. A novel blind motion deblurring algorithm is proposed for text images in a complex scene. A criterion for selecting informative edges and an L 0 constraint are combined to improve the accuracy of the kernel estimation. Then, a fast non-blind deconvolution scheme is applied to accelerate the algorithm. Experimental results on text images show that the proposed method can achieve high-quality results with low computational complexity.