Blur invariant translational image registration for N-fold symmetric blurs

IEEE Transactions on Image Processing

Volumn 22, Issue 9, 2013, Pages 3676-3689

  Pedone, Matteo ^a   Flusser, Jan ^b   Heikkilä, Janne ^a  

^a UNIVERSITY OF OULU   (Finland)

^b INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

Author keywords

Blurred images; Image registration; N fold rotation symmetry; Phase correlation

Indexed keywords

BLUR INVARIANTS; BLURRED IMAGE; ORIGINAL IMAGES; PHASE CORRELATION; REGISTRATION METHODS; ROTATION SYMMETRY; ROTATIONAL SYMMETRIES; TRADITIONAL APPROACHES;

IMAGE PROCESSING; MATHEMATICAL MODELS;

IMAGE REGISTRATION;

EID: 84893548773     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2268972     Document Type: Article

References (46)

1. B. Zitová and J. Flusser, "Image registration methods: A survey," Image Vis. Comput., vol. 21, no. 11, pp. 977-1000, 2003.
2. J. Flusser, T. Suk, and S. Saic, "Recognition of blurred images by the method of moments," IEEE Trans. Image Process., vol. 5, no. 3, pp. 533-538, Mar. 1996.
3. J. Flusser and T. Suk, "Degraded image analysis: An invariant approach," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 6, pp. 590-603, Jun. 1998.
4. C. Harris and M. Stephens, "A combined corner and edge detector," in Proc. 4th Alvey Vis. Conf., 1988, pp. 147-151.
5. B. Zitová, J. Kautsky, G. Peters, and J. Flusser, "Robust detection of significant points in multiframe images," Pattern Recognit. Lett., vol. 20, no. 2, pp. 199-206, 1999. (Pubitemid 29430735)
6. Y. Bentoutou, N. Taleb, M. Chikr El Mezouar, M. Taleb, and J. Jetto, "An invariant approach for image registration in digital subtraction angiography," Pattern Recognit., vol. 35, no. 12, pp. 2853-2865, 2002.
7. I. Makaremi and M. Ahmadi, "Wavelet domain blur invariants for image analysis," IEEE Trans. Image Process., vol. 21, no. 3, pp. 996-1006, Mar. 2012.
8. Y. Bentoutou, N. Taleb, K. Kpalma, and J. Ronsin, "An automatic image registration for applications in remote sensing," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 9, pp. 2127-2137, Sep. 2005.
9. Y. Bentoutou and N. Taleb, "Automatic extraction of control points for digital subtraction angiography image enhancement," IEEE Trans. Nuclear Sci., vol. 52, no. 1, pp. 238-246, Feb. 2005.
10. Y. Bentoutou and N. Taleb, "A 3-D space-time motion detection for an invariant image registration approach in digital subtraction angiography," Comput. Vis. Image Understand., vol. 97, no. 1, pp. 30-50, 2005. (Pubitemid 40049160)
11. S. X. Hu, Y.-M. Xiong, M. Z. W. Liao, and W. F. Chen, "Accurate point matching based on combined moment invariants and their new statistical metric," in Proc. ICWAPR 2007, pp. 376-381.
12. Y. Bentoutou, N. Taleb, A. Bounoua, K. Kpalma, and J. Ronsin, "Feature based registration of satellite images," in Proc. 15th Int. Conf. DSP 2007, 2007, pp. 419-422.
13. Z. Liu, J. An, and L. Li, "A two-stage registration angorithm for oil spill aerial image by invariants-based similarity and improved ICP," Int. J. Remote Sens., vol. 32, no. 13, pp. 3649-3664, 2011.
14. J. Flusser and B. Zitová, "Combined invariants to linear filtering and rotation," Int. J. Pattern Recognit. Artif. Intell., vol. 13, no. 8, pp. 1123-1136, 1999.
15. B. Chen, H. Shu, H. Zhang, G. Coatrieux, L. Luo, and J. L. Coatrieux, "Combined invariants to similarity transformation and to blur using orthogonal Zernike moments," IEEE Trans. Image Process., vol. 20, no. 2, pp. 345-360, Feb. 2011.
16. J. Flusser, B. Zitová, and T. Suk, "Invariant-based registration of rotated and blurred images," in Proc. IGARSS 1999, Jun., pp. 1262-1264.
17. J. Flusser, J. Boldyš, and B. Zitová, "Moment forms invariant to rotation and blur in arbitrary number of dimensions," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 2, pp. 234-246, Feb. 2003.
18. B. Zitová and J. Flusser, "Estimation of camera planar motion from blurred images," in Proc. ICIP 2002, Sep., pp. 329-332.
19. X. Dai, H. Zhang, H. Shu, L. Luo, and T. Liu, "Blurred image registration by combined invariant of legendre moment and Harris-Laplace detector," in Proc. 4th PSIVT 2010, pp. 300-305.
20. Z. X. D. Xiubin, L. Limin, S. Huazhong, and S. JiFeng, "M-SIFT: A new descriptor based on legendre moments and SIFT," in Proc. 3rd ICMV 2010, pp. 183-186.
21. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, 2004.
22. Z. Myles and N. V. Lobo, "Recovering affine motion and defocus blur simultaneously," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 6, pp. 652-658, Jun. 1998.
23. Y. Zhang, C. Wen, and Y. Zhang, "Estimation of motion parameters from blurred images," Pattern Recognit. Lett., vol. 21, no. 5, pp. 425-433, 2000.
24. Y. Zhang, C. Wen, Y. Zhang, and Y. C. Soh, "Determination of blur and affine combined invariants by normalization," Pattern Recognit., vol. 35, no. 1, pp. 211-221, 2002. (Pubitemid 33098727)
25. A. Kubota, K. Kodama, and K. Aizawa, "Registration and blur estimation methods for multiple differently focused images," in Proc. Int. Conf. Image Process., vol. 2. 1999, pp. 447-451.
26. Z. Zhang and R. Blum, "A hybrid image registration technique for a digital camera image fusion application," Inf. Fusion, vol. 2, no. 2, pp. 135-149, 2001. (Pubitemid 33632556)
27. K. V. Arya and P. Gupta, "Registration algorithm for motion blurred images," in Proc. 6th Int. Conf. Adv. Pattern Recognit., 2007, pp. 186-190.
28. X. Fang, B. Luo, B. He, and H. Wu, "Feature based multi-resolution registration of blurred images for image mosaic," Int. J. CAD/CAM, vol. 9, no. 1, pp. 37-46, 2009.
29. L. Yuan, J. Sun, L. Quan, and H.-Y. Shum, "Blurred/non-blurred image alignment using sparseness prior," in Proc. 11th ICCV 2007, pp. 1-8.
30. P. Vandewalle, S. Susstrunk, and M. Vetterli, "A frequency domain approach to registration of aliased images with application to superresolution," EURASIP J. Appl. Signal Process., vol. 2006, pp. 1-14, Jan. 2006.
31. P. Vandewalle, L. Sbaiz, and M. Vetterli, "Registration for superresolution: Theory, algorithms, and applications in image and mobile video enhancement," in Super-Resolution Imaging, P. Milanfar, Ed. Boca Raton, FL, USA: CRC Press, 2011, pp. 155-186.
32. D. Robinson, S. Farsiu, and P. Milanfar, "Optimal registration of aliased images using variable projection with applications to super-resolution," Comput. J., vol. 52, no. 1, pp. 31-42, 2009.
33. V. Ojansivu and J. Heikkilä, "A method for blur and affine invariant object recognition using phase-only bispectrum," in Proc. ICIAR, vol. LNCS 5112. 2008, pp. 527-536.
34. V. Ojansivu and J. Heikkilä, "Image registration using blur-invariant phase correlation," IEEE Signal Process. Lett., vol. 14, no. 7, pp. 449-452, Jul. 2007.
35. S. Tang, Y. Wang, and Y. Wei Chen, "Blur invariant phase correlation in X-ray digital subtraction angiography," in Proc. IEEE/ICME Int. Conf. Complex Med. Eng., 2007, May, pp. 1715-1719.
36. K. E. Patrizio Campisi, Blind Image Deconvolution: Theory and Applications. Boca Raton, FL, USA: CRC Press, 2007.
37. P. Milanfar, Super-Resolution Imaging. Boca Raton, FL, USA: CRC Press, 2011.
38. F. Šroubek, J. Kamenický, and J. Flusser, "Denoising, deblurring, and superresolution in mobile phones," Proc. SPIE, vol. 7873, p. 78730I, Jan. 2011.
39. F. Šroubek and J. Flusser, "Multichannel blind deconvolution of spatially misaligned images," IEEE Trans. Image Process., vol. 14, no. 7, pp. 874-883, Jul. 2005.
40. E. de Castro and C. Morandi, "Registration of translated and rotated images using finite Fourier transform," IEEE Trans. Pattern Anal. Mach. Intell., vol. 9, no. 5, pp. 700-703, Sep. 1987.
41. V. Ojansivu, "Blur invariant pattern recognition and registration in the Fourier domain," Ph.D. dissertation, Dept. Electr. Inf. Eng., Univ. Oulu, Oulu, Finland, 2009.
42. J. Flusser, T. Suk, and B. Zitová, Moments and Moment Invariants in Pattern Recognition. New York, NY, USA: Wiley, 2009.
43. J. Flusser, T. Suk, J. Boldyš, and B. Zitová, "Blur invariants and projection operators," in Proc. 10th IASTED Conf. Signal Process., Pattern Recognit. Appl. SPPRA, 2013, pp. 305-312.
44. R. N. Bracewell, The Fourier Transform and Its Applications. New York, NY, USA: McGraw-Hill, 1965.
45. H. Bay, T. Tuytelaars, and L. Van Gool, "SURF: Speeded up robust features," in Proc. ECCV 2006, pp. 404-417.
46. L. Juan and O. Gwun, "A comparison of SIFT, PCA-SIFT and SURF," Int. J. Image Process., vol. 3, no. 4, pp. 143-152, 2009.