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Volumn 17, Issue 2, 2014, Pages 161-179

Sparsity-based edge noise removal from bilevel graphical document images

Author keywords

Bilevel image denoising; Dictionary learning; Directional denoising; Image degradation model; Noise spread; Sparse representation

Indexed keywords

ALGORITHMS;

EID: 84901508888     PISSN: 14332833     EISSN: 14332825     Source Type: Journal    
DOI: 10.1007/s10032-013-0213-4     Document Type: Article
Times cited : (8)

References (52)
  • 1
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: an algorithm for designing of overcomplete dictionaries for sparse representation
    • Aharon, M., Elad, M., Bruckstein, A.: K-SVD: an algorithm for designing of overcomplete dictionaries for sparse representation. IEEE Trans. Signal Process. 54(11), 4311-4322 (2006).
    • (2006) IEEE Trans. Signal Process. , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 2
    • 84857356276 scopus 로고    scopus 로고
    • Nonlinear filtering for image analysis and enhancement
    • A. C. Bovik (Ed.), Amsterdam: Elsevier
    • Arce, G. R., Bacca, J., Paredes, J. L.: Nonlinear filtering for image analysis and enhancement. In: Bovik, A. C. (ed.) The Essential Guide to Image Processing, Chap. 12, pp. 263-291. Elsevier, Amsterdam (2009).
    • (2009) The Essential Guide to Image Processing, Chap. 12 , pp. 263-291
    • Arce, G.R.1    Bacca, J.2    Paredes, J.L.3
  • 3
    • 0002812089 scopus 로고
    • Document image defect models
    • H. S. Baird, K. Yamamoto, and H. Bunke (Eds.), New York: Springer
    • Baird, H. S.: Document image defect models. In: Baird, H. S., Yamamoto, K., Bunke, H. (eds.) Structured Document Image Analysis, pp. 546-556. Springer, New York (1992).
    • (1992) Structured Document Image Analysis , pp. 546-556
    • Baird, H.S.1
  • 5
    • 84889600748 scopus 로고    scopus 로고
    • Statistical image differences, degradation features, and character distance metrics
    • Barney Smith, E. H., Qiu, X.: Statistical image differences, degradation features, and character distance metrics. Int. J. Document Anal. Recognit. 6(3), 146-153 (2003).
    • (2003) Int. J. Document Anal. Recognit. , vol.6 , Issue.3 , pp. 146-153
    • Barney Smith, E.H.1    Qiu, X.2
  • 6
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • Beck, A., Teboulle, M.: A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imaging Sci. 2(1), 183-202 (2009).
    • (2009) SIAM J. Imaging Sci. , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 8
    • 33645653318 scopus 로고    scopus 로고
    • A review of image denoising algorithms, with a new one
    • Buades, A., Coll, B., Morel, J. M.: A review of image denoising algorithms, with a new one. Multiscale Modeli. Simul. 4(2), 490-530 (2005).
    • (2005) Multiscale Modeli. Simul. , vol.4 , Issue.2 , pp. 490-530
    • Buades, A.1    Coll, B.2    Morel, J.M.3
  • 10
    • 0036836408 scopus 로고    scopus 로고
    • New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction
    • Candès, E. J., Guo, F.: New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction. Signal Process. 82(11), 1519-1543 (2002).
    • (2002) Signal Process. , vol.82 , Issue.11 , pp. 1519-1543
    • Candès, E.J.1    Guo, F.2
  • 11
    • 58249141985 scopus 로고    scopus 로고
    • Representation and compression of multidimensional piecewise functions using surflets
    • Chandrasekaran, V., Wakin, M. B., Baron, D., Baraniuk, R. G.: Representation and compression of multidimensional piecewise functions using surflets. IEEE Trans. Inf. Theory 55(1), 374-400 (2009).
    • (2009) IEEE Trans. Inf. Theory , vol.55 , Issue.1 , pp. 374-400
    • Chandrasekaran, V.1    Wakin, M.B.2    Baron, D.3    Baraniuk, R.G.4
  • 15
    • 35148877210 scopus 로고    scopus 로고
    • Wave atoms and sparsity of oscillatory patterns
    • Demanet, L., Ying, L.: Wave atoms and sparsity of oscillatory patterns. Appl. Comput. Harmon. Anal. 23(3), 368-387 (2007).
    • (2007) Appl. Comput. Harmon. Anal. , vol.23 , Issue.3 , pp. 368-387
    • Demanet, L.1    Ying, L.2
  • 16
    • 0037239595 scopus 로고    scopus 로고
    • The finite ridgelet transform for image representation
    • Do, M. N., Vetterli, M.: The finite ridgelet transform for image representation. IEEE Trans. Image Process. 12(1), 16-28 (2003).
    • (2003) IEEE Trans. Image Process. , vol.12 , Issue.1 , pp. 16-28
    • Do, M.N.1    Vetterli, M.2
  • 17
    • 28944432472 scopus 로고    scopus 로고
    • The contourlet transform: an efficient directional multiresolution image representation
    • Do, M. N., Vetterli, M.: The contourlet transform: an efficient directional multiresolution image representation. IEEE Trans. Image Process. 14(12), 2091-2106 (2005).
    • (2005) IEEE Trans. Image Process. , vol.14 , Issue.12 , pp. 2091-2106
    • Do, M.N.1    Vetterli, M.2
  • 18
    • 33646365077 scopus 로고    scopus 로고
    • 1-norm solution is also the sparsest solution
    • 1-norm solution is also the sparsest solution. Commun. Pure Appl. Math. 59(7), 797-829 (2006).
    • (2006) Commun. Pure Appl. Math. , vol.59 , Issue.7 , pp. 797-829
    • Donoho, D.L.1
  • 19
    • 2642578256 scopus 로고    scopus 로고
    • Beamlets and multiscale image analysis
    • T. J. Barth, T. Chan, and R. Haimes (Eds.), Berlin: Springer
    • Donoho, D. L., Huo, X.: Beamlets and multiscale image analysis. In: Barth, T. J., Chan, T., Haimes, R. (eds.) Multiscale and Multiresolution Methods, pp. 149-196. Springer, Berlin (2001).
    • (2001) Multiscale and Multiresolution Methods , pp. 149-196
    • Donoho, D.L.1    Huo, X.2
  • 20
    • 84950459514 scopus 로고
    • Adapting to unknown smoothness via wavelet shrinkage
    • Donoho, D. L., Johnstone, I. M.: Adapting to unknown smoothness via wavelet shrinkage. J. Am. Stat. Assoc. 90(432), 1200-1224 (1995).
    • (1995) J. Am. Stat. Assoc. , vol.90 , Issue.432 , pp. 1200-1224
    • Donoho, D.L.1    Johnstone, I.M.2
  • 25
    • 36148960270 scopus 로고    scopus 로고
    • Optimally sparse multidimensional representation using shearlets
    • Guo, K., Labate, D.: Optimally sparse multidimensional representation using shearlets. SIAM J. Math. Anal. 39(1), 298-318 (2007).
    • (2007) SIAM J. Math. Anal. , vol.39 , Issue.1 , pp. 298-318
    • Guo, K.1    Labate, D.2
  • 26
    • 84943817322 scopus 로고
    • Error detecting and error correcting codes
    • Hamming, R. W.: Error detecting and error correcting codes. Bell Syst. Tech. J. 29(2), 147-160 (1950).
    • (1950) Bell Syst. Tech. J. , vol.29 , Issue.2 , pp. 147-160
    • Hamming, R.W.1
  • 32
    • 0030259483 scopus 로고    scopus 로고
    • Image representation using 2D Gabor wavelets
    • Lee, T. S.: Image representation using 2D Gabor wavelets. IEEE Trans. Pattern Anal. Mach. Intell. 18(10), 959-971 (1996).
    • (1996) IEEE Trans. Pattern Anal. Mach. Intell. , vol.18 , Issue.10 , pp. 959-971
    • Lee, T.S.1
  • 33
    • 85032752378 scopus 로고    scopus 로고
    • The curvelet transform
    • Ma, J., Plonka, G.: The curvelet transform. IEEE Signal Process. Mag. 27(2), 118-133 (2010).
    • (2010) IEEE Signal Process. Mag. , vol.27 , Issue.2 , pp. 118-133
    • Ma, J.1    Plonka, G.2
  • 34
    • 76749107542 scopus 로고    scopus 로고
    • Online learning for matrix factorization and sparse coding
    • Mairal, J., Bach, F., Ponce, J., Sapiro, G.: Online learning for matrix factorization and sparse coding. J. Mach. Learn. Res. 11, 19-60 (2010).
    • (2010) J. Mach. Learn. Res. , vol.11 , pp. 19-60
    • Mairal, J.1    Bach, F.2    Ponce, J.3    Sapiro, G.4
  • 35
    • 84882543206 scopus 로고    scopus 로고
    • Morphological filtering
    • A. C. Bovik (Ed.), Amsterdam: Elsevier
    • Maragos, P.: Morphological filtering. In: Bovik, A. C. (ed.) The Essential Guide to Image Processing, Chap. 13, pp. 293-321. Elsevier, Amsterdam (2009).
    • (2009) The Essential Guide to Image Processing, Chap. 13 , pp. 293-321
    • Maragos, P.1
  • 37
    • 0000981459 scopus 로고    scopus 로고
    • Brushlets: a tool for directional image analysis and image compression
    • Meyer, F. G., Coifman, R. R.: Brushlets: a tool for directional image analysis and image compression. Appl. Comput. Harmon. Anal. 4(2), 147-187 (1997).
    • (1997) Appl. Comput. Harmon. Anal. , vol.4 , Issue.2 , pp. 147-187
    • Meyer, F.G.1    Coifman, R.R.2
  • 39
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen, B. A., Field, D. J.: Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381, 607-609 (1996).
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 40
    • 0018306059 scopus 로고
    • A threshold selection method from gray-level histograms
    • Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62-66 (1979).
    • (1979) IEEE Trans. Syst. Man Cybern. , vol.9 , Issue.1 , pp. 62-66
    • Otsu, N.1
  • 42
    • 0025465145 scopus 로고
    • Scale-space and edge detection using anisotropic diffusion
    • Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12(7), 629-639 (1990).
    • (1990) IEEE Trans. Pattern Anal. Mach. Intell. , vol.12 , Issue.7 , pp. 629-639
    • Perona, P.1    Malik, J.2
  • 45
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithms
    • Rudin, L. I., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Physica D 60, 259-268 (1992).
    • (1992) Physica D , vol.60 , pp. 259-268
    • Rudin, L.I.1    Osher, S.2    Fatemi, E.3
  • 47
    • 0346316863 scopus 로고    scopus 로고
    • Edge-preserving and scale-dependent properties of total variation regularization
    • Strong, D., Chan, T.: Edge-preserving and scale-dependent properties of total variation regularization. Inverse Probl. 19(6), S165-S187 (2003).
    • (2003) Inverse Probl. , vol.19 , Issue.6
    • Strong, D.1    Chan, T.2
  • 49
    • 0026235175 scopus 로고
    • Filtering noise from images with wavelet transforms
    • Weaver, J. B., Xu, Y., Healy, D. M., Cromwell, L. D.: Filtering noise from images with wavelet transforms. Magn. Reson. Med. 21(2), 288-295 (1991).
    • (1991) Magn. Reson. Med. , vol.21 , Issue.2 , pp. 288-295
    • Weaver, J.B.1    Xu, Y.2    Healy, D.M.3    Cromwell, L.D.4
  • 50
    • 0032666007 scopus 로고    scopus 로고
    • Coherence-enhancing diffusion filtering
    • Weickert, J.: Coherence-enhancing diffusion filtering. Int. J. Comput. Vis. 31(2-3), 111-127 (1999).
    • (1999) Int. J. Comput. Vis. , vol.31 , Issue.2-3 , pp. 111-127
    • Weickert, J.1
  • 51
    • 3543103176 scopus 로고    scopus 로고
    • Sparse Bayesian learning for basis selection
    • Wipf, D., Rao, B.: Sparse Bayesian learning for basis selection. IEEE Trans. Signal Process. 52(8), 2153-2164 (2004).
    • (2004) IEEE Trans. Signal Process. , vol.52 , Issue.8 , pp. 2153-2164
    • Wipf, D.1    Rao, B.2
  • 52
    • 0030736910 scopus 로고    scopus 로고
    • An efficient algorithm for smoothing, linearization and detection of structural feature points of binary image contours
    • Yu, D., Yan, H.: An efficient algorithm for smoothing, linearization and detection of structural feature points of binary image contours. Pattern Recognit. 30(1), 57-69 (1997).
    • (1997) Pattern Recognit. , vol.30 , Issue.1 , pp. 57-69
    • Yu, D.1    Yan, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.