A Image Enhancement Algorithm Combined Wavelet Transform with Image Fusion

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Aiming at problems of poor contrast and blurred edges in degraded images, a novel enhancement algorithm is proposed in present research. The algorithm utilizes wavelet-based image fusion to accomplish the duplex enhancement task. Experiment results prove that the proposed enhancement algorithm can efficiently combine the merits of histogram equalization and sharpening, improving both the contrast and sharpness of the degraded image at the same time.

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1832-1838

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June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Z. Zhang and R. S. Blum, A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application, Proc. IEEE, vol. 87(8), pp.1315-1326, (1999).

DOI: 10.1109/5.775414

Google Scholar

[2] V. Petovic and T. Cootes. Objectively adaptive image fusion, Information Fusion, vol. 8(2), pp.168-176, April (2007).

DOI: 10.1016/j.inffus.2005.10.002

Google Scholar

[3] G. Pajares and J. Manuel de la Cruz. A wavelet-based image fusion tutorial, Pattern Recognition, vol. 37(9), pp.1855-1872, September (2004).

DOI: 10.1016/j.patcog.2004.03.010

Google Scholar

[4] S. G. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11(7), pp.674-693, (1989).

DOI: 10.1109/34.192463

Google Scholar

[5] S. G. Mallat, A wavelet tour of signal processing, San Diego: Academic Press, 1998, pp.302-310. X. G. Lu, Y. F. Wang, W. G. Hu and A. L. Jin, Investigation of Modification at Histogram Equalization Algorithm Based on Visual Characteristic, Control & Automation, vol. 22(5-1), pp.229-231, (2006).

Google Scholar

[6] C. C. Liu, S. B. Hu, J. H. Yang and X. Guo, A Method of Histogram Incomplete Equalization, Journal of Shandong University (Engineering Science), vol. 33(6), pp.661-664, (2003).

Google Scholar

[7] R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd ed., Publishing House of Electronics Industry, 2002, pp.88-94.

Google Scholar

[8] G. Q. Tao, D. P. Li and G. H. Lu, Study on Image Fusion Based on Different Fusion Rules of Wavelet Transform, Infrared and Laser Engineering, vol. 32(2), pp.173-176, (2003).

Google Scholar

[9] Z. X. Qiang, J. X. Peng and H. Q. Wang, Remote Sensing Image Fusion Based on Local Deviation of Wavelet Transform, Huazhong Univ. of Sci. & Tech. (Nature Science Edition), vol. 31(6), pp, 89-91, (2003).

Google Scholar

[10] B. J. Tao, J. R. Wang and J. P. Xu, Study on image fusion based on different fusion rules of wavelet transform, Infrared Technology, vol. 28(7), pp.431-434, (2006).

Google Scholar