电子转发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC 推荐文献 Rob Fergus,Barun Singh,etc.,Removing Camera Shake from a Single Photograph.Siggraph,2006 http://cs.nyu.edw/-fergus/research/deblur.html Original Our algorithm 3% (GIYUT2 HYIUM
Rob Fergus,Barun Singh, etc., Removing Camera Shake from a Single Photograph. Siggraph,2006. ◆http://cs.nyu.edu/~fergus/research/deblur.html 推荐文献 Original Our algorithm
电子转发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC 推荐文献 Rob Fergus,Barun Singh,etc.,Removing Camera Shake from a Single Photograph.Siggraph,2006 http://cs.nyu.edu/-fergus/research/deblur.html Original Our algorithm
Rob Fergus,Barun Singh, etc., Removing Camera Shake from a Single Photograph. Siggraph,2006. ◆http://cs.nyu.edu/~fergus/research/deblur.html 推荐文献 Original Our algorithm
电子科线女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC 推荐文献 >M.Lancelle P.Dogan M.Gross,etc.,Controlling Motion Blur in Synthetic Long Time Exposures",Computer Graphics Forum,vol.20,no.11,p.3097- 3111,2019 https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.13646
➢M. Lancelle P. Dogan M. Gross, etc., “Controlling Motion Blur in Synthetic Long Time Exposures”, Computer Graphics Forum, vol. 20, no. 11, p. 3097- 3111, 2019. ◆https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.13646 推荐文献
电子转发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Outline A Model of the Image Degradation/Restoration Process Noise Models Restoration in the Presence of Noise Only-Spatial Filtering Periodic Noise Reduction by Frequency Domain Filtering Linear,Position-Invariant Degradations ◆ Estimating the Degradation Function Inverse Filtering ● Minimum Mean Square Error (Wiener)Filtering Constrained Least Squares Filtering Geometric Mean Filter Image Reconstruction from Projections*
Outline ◆ A Model of the Image Degradation/Restoration Process ◆ Noise Models ◆ Restoration in the Presence of Noise Only-Spatial Filtering ◆ Periodic Noise Reduction by Frequency Domain Filtering ◆ Linear, Position-Invariant Degradations ◆ Estimating the Degradation Function ◆ Inverse Filtering ◆ Minimum Mean Square Error (Wiener) Filtering ◆ Constrained Least Squares Filtering ◆ Geometric Mean Filter ◆ Image Reconstruction from Projections*
电子转发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC 5,1 Model of Image Degradation/Restoration ■ Linear,position-invariant process g(x.y)=h(x,y)*f(x,y)+n(x.y) G(u,v)=H (u,v)F(u,v)+N(u,v) FIGURE 5.1 A model of the Degradation 8(x,y) image f(x,y) Restoration function f(x,y) degradation/ H filter(s) restoration process. Noise n(x,y) DEGRADATION RESTORATION
5.1 Model of Image Degradation/Restoration ◼ Linear, position-invariant process g x y h x y f x y x y ( , , , , ) = + ( ) ( ) ( ) G u v H u v F u v N u v ( , , , , ) = + ( ) ( ) ( )