4 perceptually motivated image restoration

... Engineering Image Restoration -4- Digital Image Processing Department of Biomedical Engineering Image Restoration -5- Digital Image Processing Department of Biomedical Engineering Image Restoration ... Engineering Image Restoration - 14- Digital Image Processing Department of Biomedical Engineering Image Restoration -15- Digital Image Processing Department of Biomedical Engineering Image Restoration ... Engineering Image Restoration - 24- Digital Image Processing Department of Biomedical Engineering Image Restoration -25- Digital Image Processing Department of Biomedical Engineering Image Restoration...

Ngày tải lên: 12/09/2013, 00:08

... + ( 34. 33) −2 |} ( 34. 34) The expression for c in ( 34. 34) will also be used in Section 34. 8, where higher order iterative algorithms are presented 34. 7 Use of Constraints Iterative signal restoration ... available data is preserved Inequalities ( 34. 40) and ( 34. 41) can be respectively rewritten as [25, 27] x − x+ T DT D and xT x − x+ ≤ , CT C x ≤1, E2 ( 34. 42) ( 34. 43) where x + = D + y That is, each of ... ellipsoids ( 34. 42) and ( 34. 43) The respective projections P1 x and P2 x are defined by [25] P1 x = x + λ1 (I + λ1 D T D)−1 D T (y − Dx) ( 34. 45) P2 x = [I − λ2 (I + λ2 C T C)−1 C T C]x, ( 34. 46) where...

Ngày tải lên: 25/12/2013, 06:16

... 3/30  School of Electronics and Telecommunications Hanoi University of Science and Technology  4/ 30  School of Electronics and Telecommunications Hanoi University of Science and Technology  5/30  ... 13/30  School of Electronics and Telecommunications Hanoi University of Science and Technology  14/ 30  School of Electronics and Telecommunications Hanoi University of Science and Technology  15/30  ... 23/30  School of Electronics and Telecommunications Hanoi University of Science and Technology  24/ 30  School of Electronics and Telecommunications Hanoi University of Science and Technology  25/30 ...

Ngày tải lên: 08/05/2014, 15:57

... 37 38 39 41 42 42 46 46 47 49 Least-squares shape from defocus 4. 1 Least-squares minimization 4. 2 A solution based on orthogonal projectors 4. 2.1 Regularization ... values 4. 2.2 Learning the orthogonal projectors from images 4. 3 Depth-map estimation algorithm 4. 4 Examples 4. 4.1 Explicit kernel model 4. 4.2 Learning ... 120 121 1 24 125 126 127 129 131 132 135 137 138 138 141 146 5.5 Examples 5 .4. 1 Examples with synthetic images 5 .4. 2 Examples with real images Summary ...

Ngày tải lên: 05/06/2014, 12:03

... 33 .4 25.3 34. 1 34. 0 24. 6 28 .4 31.9 34. 2 33.2 32.2 28.0 Zeyde et al 31.3 33.8 25.5 35 .4 36.5 25.0 28.8 33.8 36.1 34. 4 33.3 28.5 Proposed 31 .4 33.9 25.6 35.5 37.0 25.1 28.9 33.9 36 .4 34. 6 33 .4 28.6 ... 29. 84 26.25 21.98 33. 04 32.09 28.13 23.59 SSIM comparison Noisy 0.593 0.503 0. 241 0.0 84 0.531 0 .44 3 0.2 04 0.0 74 0.529 0 .44 2 0.212 0.076 0 .45 2 0.368 0.166 0.057 K-SVD 0.8 94 0.859 0.708 0.519 0.903 ... 20.17 14. 15 8.13 K-SVD 30.85 29.55 25 .44 21.65 32.38 31.32 27.79 24. 46 30.80 29.72 26.10 21. 84 33.16 32.12 28.08 23. 54 Proposed 30.88 29.53 25.50 21. 74 32.26 31.28 27.80 24. 53 30. 84 29. 84 26.25...

Ngày tải lên: 20/06/2014, 20:20

... Desensitisation Radon estimates 40 44 10.29 4. 64 2.50 35 50 8 .40 2.27 1.65 BSNR (dB) 30 25 36 64 6.73 5.28 −1.25 −2. 64 0.70 −0.21 20 62 4. 14 −0.81 0.36 15 54 3 .48 0.03 0.76 Table 3: Set of ISNR ... desensitisation GH 0.20 K 0 .40 Z(k = K) 9.15 δr (k = K) δn (k = K) −13.98 0.25 0.50 8.79 −12. 04 0.30 0.60 8 .41 −10 .46 0.35 0.37 9.68 −18. 24 0 .40 0 .48 9 .43 −15.92 0 .45 0.36 9.89 −20.81 Let us remark ... 1.17 3.5 0.0 341 8.60 −0.77 1.05 0.0 348 8.60 −1.00 1.00 4. 5 0.0353 8.60 −1.16 0.97 0.0357 8.62 −1.28 0. 94 3.5 0.0372 8.60 4. 72 1.22 0.0380 8.60 −5 .46 1.18 4. 5 0.0385 8.60 −5.99 1. 14 0.0388 8.62...

Ngày tải lên: 22/06/2014, 19:20

... 9, pp 240 1– 240 9, 19 94 [10] Y.-L You and M Kaveh, “Regularization approach to joint blur identification and image restoration, ” IEEE Transactions on Image Processing, vol 5, no 3, pp 41 6 42 8, 1996 ... Transactions on Image Processing, vol 10, no 10, pp 143 4– 144 6, 2001 [7] N P Galatsanos, A K Katsaggelos, R T Chin, and A D Hillery, “Least squares restoration of multichannel images,” IEEE Transactions ... Vega, “Bayesian multichannel image restoration using compound Gauss-Markov random fields,” IEEE Transactions on Image Processing, vol 12, no 12, pp 1 642 –16 54, 2003 [ 14] F Sroubek and J Flusser,...

Ngày tải lên: 22/06/2014, 23:20

... the masks   256    64  h1    128    64    256 64 16 32 16 64 128 32 64 32 128 64 16 32 16 64  256      20 64     and h2    10 128       64   20   256  10 10 ... 013-216292-X, NJ, USA Sawchuk, A.A (19 74) Space-variant image restoration by coordinate transformations J Opt Soc Am Vol 64, No 2, (February 19 74) , pp 138— 144 , ISSN 10 84- 7529 Vitkus, R.Y & Yaroslavsky, ... 2937-2 944 , ISSN 1053-587X Kober, V & Ovseevich, I.A (2008) Image restoration with running sinusoidal transforms Pattern Recognition and Image Analysis Vol 18, No 4, (December 2008), pp 650-6 54, ISSN...

Ngày tải lên: 27/06/2014, 00:20

... 1 14 2 .4 49 49 52 Chapter Introduction Recently, image restoration and recognition have become more and more important in image processing, visual tracking, object recognition, etc Usually, image ... for image denoising is generalized to solve image inpainting problem [ 54] where some pixels of the observed image are missing The procedure for image inpainting proposed in [ 54] is the same as image ... 91 99 99 100 102 1 04 105 106 112 112 112 1 14 1 14 117 Summary Image restoration and recognition are basic tasks in imaging and vision science One key question in image recovery or recognition...

Ngày tải lên: 09/09/2015, 11:26

... 0.8 0 .4 0.7 0.2 0.6 0.5 0 .4 −0.2 −0.5 0.3 −0 .4 0.2 −0.6 0.1 −1 −0.8 −0.6 −0 .4 −0.2 0.2 0 .4 0.6 0.8 −0.8 −1 (a) φ −0.8 −0.6 −0 .4 −0.2 0.2 0 .4 0.6 0.8 −1 −1 −0.8 −0.6 (b) ψ1 −0 .4 −0.2 0.2 0 .4 0.6 ... Chromaticity Diagram 0.9 520 0.8 540 0.7 560 y 0.6 0.5 580 0 .4 600 0.3 620 49 0 700 0.2 48 0 0.1 47 0 46 0 40 0 0.1 0.2 0.3 0 .4 0.5 x 0.6 0.7 0.8 0.9 (a) (b) (c) Figure 2 .4: (a) the CIExy chromaticity ... 43 2 .4. 1 The general framelet based image restoration model 46 2 .4. 2 Synthesis based model, analysis based model and balanced model 46 2 .4. 3 Numerical...

Ngày tải lên: 10/09/2015, 09:08

... (2.3) with ROLD (2.2) (2.5) 25.2 24. 7 25.6 24. 4 23 .4 23.3 24. 6 24. 3 26.5 26.0 24. 8 24. 5 25.2 24. 7 27.2 26 .4 24. 9 24. 6 Summary This chapter focused on the blind image inpainting problem without ... (2.2) Model (2.5) 2.2.3 Cameraman 10% 20% 24. 3 24. 0 24. 3 24. 1 24. 1 23.9 24. 2 24. 0 24. 2 24. 0 Goldhill 10% 20% 25.7 21.5 25.8 21.6 25.5 21.2 25.7 21 .4 25.7 21 ,4 Baboon 10% 20% 21.2 21.2 21.3 21.2 21.2 ... (2.3) + ROLD Model (2 .4) Model (2.2) Model (2.5) r= σ=0 27 .4 28.5 28 .4 29.9 30.3 30.3 10% σ=10 24. 6 26.0 27.5 27.5 28 .4 28 .4 r= σ=0 25 .4 26.3 26.3 27.1 27 .4 27 .4 20% σ=10 23.6 24. 9 25.8 26.0 26.6...

Ngày tải lên: 10/09/2015, 09:24

... 76 4. 3.1 Experiments on Synthetic Images 77 A Unified Framework for Document Image Restoration Li Zhang TABLE OF CONTENTS viii 4. 3.2 4. 3.3 4. 4 Experiments on Real Images ... SFS Using Fast Sweeping Method 82 4. 4.1 4. 4.2 Lax-Friedrichs-Based Viscosity Solution 84 4 .4. 3 4. 5 SFS Formulation 82 Shape ... 88 4. 5.1 4. 5.2 Comparisons Using Mozart Bust 91 4. 5.3 Results on Real Document Images 93 4. 5 .4 4.6 Results on Synthetic Surfaces...

Ngày tải lên: 11/09/2015, 16:08

... TABLE 4- 2 DISCONTINUTY PRESERVATION FOR ROOF EGDE WITH NOISE σ =40 (FIGURE 4. 3) 77 TABLE 4- 3 DISCONTINUTY PRESERVATION FOR STEP EGDE WITH NOISE σ=10 (FIGURE 4. 4) 79 TABLE 4- 4 ... Bayesian Approaches for Image Restoration 1.3.1 Image Identification Image identification is an indispensable step in image restoration It provides necessary information for image restoration Typically, ... of the Virtual Points 144 7 .4 Optimization of the PRR 146 7.5 Simulation and Experiments 148 7.6 Summary 1 54 Chapter Conclusion 156...

Ngày tải lên: 12/09/2015, 09:03

... Document Image 72 4. 5.1 De-shading Model 72 4. 5.2 De-warping Model 74 4.5.2.1 Restoration along x-axis 74 4.5.2.2 Restoration along y-axis 76 4. 5.2.3 Correction of document skew ε 78 4. 6 Summary ... Text Lines 40 3.6 .4 Discussion 43 3.7 Summary Chapter DIR based on 3D Document Shape Discovery 45 48 4. 1 Introduction 48 4. 2 Practical Models 50 4. 2.1 The 3D Geometric Model 56 iv 4. 2.2 The 3D ... y (i, j )) 64 4 .4 Reconstruction of Book Surface Shape and Albedo Distribution 68 4. 4.1 Reconstruction of Book Surface Shape 68 4. 4.2 Reconstruction of Albedo Distribution 71 4. 5 Restoration...

Ngày tải lên: 16/09/2015, 17:12

... "Northwind Traders" OrgName = "Northwind Traders" ProductID = 12 345 - 543 21-12 345 - 543 21-12 345 Next> Cancel ProductID = 12 345 - 543 21-12 345 - 543 21-12 345 You can reduce the amount of configuration information ... Module 4: Creating and Deploying an Image of Windows 2000 Professional For example: [UserData] FullName = “Authorized User” OrgName = “Northwind Traders” ProductID = 12 345 - 543 21-12 345 - 543 21-12 345 ... image From the target computer, connect to the source of the image and run the third-party disk imaging application that was used to create the image  14 Module 4: Creating and Deploying an Image...

Ngày tải lên: 17/01/2014, 08:20

Ngày tải lên: 22/01/2014, 02:20

... 53 .4. 3 Adaptive restoration for ringing suppression and blind restoration are covered in Sections 53 .4. 4 and 53 .4. 5, respectively Restoration of multispectral images and space-varying blurred images ... Variance 53 .4 Intra-Frame Restoration Basic Regularized Restoration Methods • Restoration of Images Recorded by Nonlinear Sensors • Restoration of Images Degraded by Random Blurs • Adaptive Restoration ... Wiener restoration of blurred and noisy image sequences, IEEE Trans Image Proc., 1 (4) , 45 3 47 6, 1992 [69] Sezan, M.I and Trussell, H.J., Use of a priori knowledge in multispectral image restoration, ...

Ngày tải lên: 27/01/2014, 03:20

... Ergodic Fields 41 1 .4. 4 Two-Dimensional Spectra of Stochastic Images 45 1 .4. 4.1 Power Spectra 45 1 .4. 4.2 Cross-Spectra 47 1 .4. 5 Transfer of Stochastic Images via Two-Dimensional ... Addition 48 1 10 .4. 2 Vector-Valued Images 48 3 10 .4. 2.1 Presentation of Vector-Valued Images 48 4 10 .4. 3 Three-Dimensional Data from Two-Dimensional Slices 48 5 10 .4. 4 Panorama ... X-Rays with Imaged Objects 143 Image Detection 146 Postmeasurement Data Processing in Projection Radiography 150 Subtractive Angiography 152 Chapter 4. 1 4. 2 4. 3 4. 4 Imaging...

Ngày tải lên: 06/03/2014, 12:20