CN107067373A - 一种基于0范数的梯度最小化二值图像复原方法 - Google Patents
一种基于0范数的梯度最小化二值图像复原方法 Download PDFInfo
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- CN107067373A CN107067373A CN201611143554.2A CN201611143554A CN107067373A CN 107067373 A CN107067373 A CN 107067373A CN 201611143554 A CN201611143554 A CN 201611143554A CN 107067373 A CN107067373 A CN 107067373A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
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Cited By (5)
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CN108765305A (zh) * | 2018-04-16 | 2018-11-06 | 佛山市顺德区中山大学研究院 | 一种离焦qr码图像盲复原方法 |
CN110147523A (zh) * | 2017-12-01 | 2019-08-20 | 南京航空航天大学 | 基于稀疏组Lasso的高阶因子分解机方法 |
CN110544215A (zh) * | 2019-08-23 | 2019-12-06 | 淮阴工学院 | 一种基于各向异性稀疏梯度的交通监控图像去雨方法 |
CN111709962A (zh) * | 2020-05-28 | 2020-09-25 | 淮阴工学院 | 基于各向异性l0梯度稀疏表达和dct变换的图像轮廓和纹理特征分解方法 |
CN111986123A (zh) * | 2020-09-24 | 2020-11-24 | 南京航空航天大学 | 基于Kullback-Leibler散度和l0范数约束的模糊图像复原方法 |
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CN105184744A (zh) * | 2015-08-24 | 2015-12-23 | 西安电子科技大学 | 基于标准化稀疏度量图像块先验的模糊核估计方法 |
CN105809642A (zh) * | 2016-03-11 | 2016-07-27 | 中山大学 | 一种基于l0正则化的自然图像盲去运动模糊的方法 |
CN106097256A (zh) * | 2016-05-31 | 2016-11-09 | 南京邮电大学 | 一种基于图像盲去模糊的视频图像模糊度检测方法 |
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2016
- 2016-12-13 CN CN201611143554.2A patent/CN107067373B/zh active Active
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CN105184744A (zh) * | 2015-08-24 | 2015-12-23 | 西安电子科技大学 | 基于标准化稀疏度量图像块先验的模糊核估计方法 |
CN105809642A (zh) * | 2016-03-11 | 2016-07-27 | 中山大学 | 一种基于l0正则化的自然图像盲去运动模糊的方法 |
CN106097256A (zh) * | 2016-05-31 | 2016-11-09 | 南京邮电大学 | 一种基于图像盲去模糊的视频图像模糊度检测方法 |
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Title |
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LI XU ETC.: ""Image smoothing via L0 gradient minimization"", 《ACM TRANSACTIONS ON GRAPHICS》 * |
ZHANG J ETC.: ""An Alternating Minimization Algorithm for Binary Image Restoration"", 《IEEE TRANSACTIONS ON IMAGE PROCESSING》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110147523A (zh) * | 2017-12-01 | 2019-08-20 | 南京航空航天大学 | 基于稀疏组Lasso的高阶因子分解机方法 |
CN108765305A (zh) * | 2018-04-16 | 2018-11-06 | 佛山市顺德区中山大学研究院 | 一种离焦qr码图像盲复原方法 |
CN110544215A (zh) * | 2019-08-23 | 2019-12-06 | 淮阴工学院 | 一种基于各向异性稀疏梯度的交通监控图像去雨方法 |
CN111709962A (zh) * | 2020-05-28 | 2020-09-25 | 淮阴工学院 | 基于各向异性l0梯度稀疏表达和dct变换的图像轮廓和纹理特征分解方法 |
CN111986123A (zh) * | 2020-09-24 | 2020-11-24 | 南京航空航天大学 | 基于Kullback-Leibler散度和l0范数约束的模糊图像复原方法 |
CN111986123B (zh) * | 2020-09-24 | 2024-03-12 | 南京航空航天大学 | 基于kl散度和l0范数约束的模糊图像复原方法 |
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