激光与光电子学进展, 2018, 55 (4): 041003, 网络出版: 2018-09-11
基于原始-对偶算法的自适应加权广义全变差图像去模糊 
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Adaptive Weighted Generalized Total Variation Image Deblurring Based on Primal-Dual algorithm
图 & 表
图 1. 去模糊效果图对比。(a)模糊图像;(b) FTVD方法;(c) TV-NLR方法;(d) JSM方法;(e)本文算法;(f)~(i)图(b)~(e)局部细节放大图
Fig. 1. Comparison of deblurred images. (a) Blurred image; (b) result of FTVD algorithm; (c) result of TV-NLR algorithm; (d) result of JSM algorithm; (e) result of the proposed algorithm; (f)-(i) detail enlarged drawing of Fig. (b)-(e)
图 2. 去模糊效果图对比。(a)模糊图像;(b) FTVD方法; (c) TV-NLR方法;(d) JSM;(e)本文算法; (f)~(i)图(b)~(e)局部细节放大图
Fig. 2. Comparison of deblurred images. (a) Blurred image; (b) result of FTVD algorithm; (c) result of TV-NLR algorithm; (d) result of JSM algorithm; (e) result of he proposed algorithm; (f)-(i)detail enlarged drawing of Fig. (b)-(e)
图 3. 去模糊效果图对比。(a)模糊图像;(b) FTVD方法; (c) TV-NLR方法;(d) JSM方法;(e)本文算法; (f)~(i)图(b)~(e)局部细节放大图
Fig. 3. Comparison of deblurred images. (a) Blurred image; (b) result of FTVD algorithm; (c) result of TV-NLR algorithm; (d) result of JSM algorithm; (e) result of the proposed algorithm; (f)-(i) detail enlarged drawing of Fig. (b)-(e)
表 14种算法去模糊图像PSNR值对比
Table1. PSNR results comparison of four deblurred imagesdB
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表 24种算法时间复杂度对比
Table2. Time complexity comparison of four algorithmss
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杨爱萍, 张越, 王金斌, 何宇清. 基于原始-对偶算法的自适应加权广义全变差图像去模糊[J]. 激光与光电子学进展, 2018, 55(4): 041003. Aiping Yang, Yue Zhang, Jinbin Wang, Yuqing He. Adaptive Weighted Generalized Total Variation Image Deblurring Based on Primal-Dual algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041003.
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