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Alternative TitleAccurate kernel estimation for blind deblurring of noisy and blurred images
孙士洁; 赵怀慈; 郝明国; 李波
Source Publication计算机辅助设计与图形学学报
Indexed ByEI ; CSCD
EI Accession number20162402489865
Contribution Rank1
Funding Organization总装国防预研项目
Keyword盲目图像反降晰 噪声模糊图像 显著结构 图像边缘 模糊核估计
Other AbstractMost state-of-the-art single image blind deblurring techniques can't still handle perfectly the problem that the quality of blur kernel estimate can be degraded dramatically when the input image noise can't be ignored. In this work, we present a new method for estimating an accurate blur kernel from a blurry and noisy image using salient image structure. First, we use denoising as a preprocess to remove the input image noise, and then compute salient structure of the denoised result based on the total variation (TV) model. We also apply a gradient selection method to remove those salient edges that have a possible adverse effect on blur kernel estimation, thus improving the robustness of blur kernel estimation. Next, we adopt a two-phase blur kernel estimation strategy to achieve an accurate kernel estimation by taking advantage of the blur kernel estimation method from salient structure and iterative support detection (ISD) technique. Finally, we choose to use the non-blind deconvolution method with sparse prior knowledge to attain the final latent image restoration. Experiment results on synthetic and real world data show that our method produces more accurate blur kernels and higher quality latent images than previous approaches on noisy and blurry images. It handles effectively the truth that image deblurring techniques are very sensitive to noise, and estimates an accurate blur kernel from a noisy and blurry image. 
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Document Type期刊论文
Corresponding Author孙士洁
Recommended Citation
GB/T 7714
孙士洁,赵怀慈,郝明国,等. 噪声模糊图像盲目反降晰的模糊核准确估计[J]. 计算机辅助设计与图形学学报,2016,28(5):813-820.
APA 孙士洁,赵怀慈,郝明国,&李波.(2016).噪声模糊图像盲目反降晰的模糊核准确估计.计算机辅助设计与图形学学报,28(5),813-820.
MLA 孙士洁,et al."噪声模糊图像盲目反降晰的模糊核准确估计".计算机辅助设计与图形学学报 28.5(2016):813-820.
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