Fusion methods based on dynamic-segmented morphological wavelet or cut and paste for multifocus images

Signal Processing

Volumn 88, Issue 6, 2008, Pages 1511-1527

  Lin, Phen Lan ^a   Huang, Po Ying ^b  

^a PROVIDENCE UNIVERSITY   (Taiwan)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Image fusion; Morphological wavelet; Multifocus image; Spectrum energy

Indexed keywords

EDGE DETECTION; SPECTRUM ANALYSIS; WAVELET ANALYSIS;

MORPHOLOGICAL WAVELETS; MULTIFOCUS IMAGE; SPECTRUM ENERGY; VISUAL COMPLEXITY;

IMAGE FUSION;

EID: 39749188718     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2007.12.018     Document Type: Article

References (11)

1. Bloch I. Information combination operators for data fusion: a review with classification. IEEE Trans. SMC: Part A 26 (1996) 52-67
2. H.A. Eltoukhy, S. Kavusi, A computationally efficient algorithm for multi-focus image reconstruction, in: Proceedings of SPIE Electronic Imaging, June 2003.
3. P.J. Burt, R.J. Lolezynski, Enhanced image capture through fusion, in: Proceedings of the Fourth International Conference on Computer Vision, Berlin, Germany, 1993, pp. 173-182.
4. Li H., Manjunath B., and Mitra S. Multisensor image fusion using the wavelet transform. Graph. Models Image Process. 57 3 (1995) 235-245
5. X. Yang, W. Yang, J. Pei, Different focus points images fusion based on wavelet decomposition, in: Proceedings of Third International Conference on Information Fusion, vol. 1, 2000, pp. 3-8.
6. Z. Zhang, R.S. Blum, Image fusion for a digital camera application, in: Conference Record of the Thirty-Second Asilomar Conference on Signals, Systems and Computers, vol. 1, 1998, pp. 603-607.
7. Heijmans H.J., and Goutsias J. Multiresolution signal decomposition schemes. Part 2: Morphological wavelets. IEEE Trans. Image Process. 9 (2000) 1897-1913
8. De I., and Chanda B. A simple and efficient algorithm for multifocus image fusion using morphological wavelets. Signal Process. 86 (2006) 924-936
9. Wen C.Y., and Chen J.K. Multi-resolution image fusion technique and its application to forensic science. Forensic Sci. Int. 140 (2004) 217-232
10. Acharya T., and Ray A.K. Image Processing, Principles and Applications (2005), Wiley, New York
11. Lin P.L., and Huang P.W. Block-complexity based information hiding scheme for binary images. WSEAS Trans. Signal Process. 2 5 (2006) 718-725