کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
529749 | 869697 | 2016 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Spatially variant defocus blur map estimation and deblurring from a single image Spatially variant defocus blur map estimation and deblurring from a single image](/preview/png/529749.png)
• A blur map estimation method using edge information is proposed.
• The blur map is segmented into multiple superpixels according to the image contours.
• Ringing artifacts and noise are detected and removed after deconvolution.
In this paper, we propose a single image deblurring algorithm to remove spatially variant defocus blur based on the estimated blur map. Firstly, we estimate the blur map from a single image by utilizing the edge information and K nearest neighbors (KNN) matting interpolation. Secondly, the local kernels are derived by segmenting the blur map according to the blur amount of local regions and image contours. Thirdly, we adopt a BM3D-based non-blind deconvolution algorithm to restore the latent image. Finally, ringing artifacts and noise are detected and removed, to obtain a high quality in-focus image. Experimental results on real defocus blurred images demonstrate that our proposed algorithm outperforms some state-of-the-art approaches.
Journal: Journal of Visual Communication and Image Representation - Volume 35, February 2016, Pages 257–264