Local energy based multi-focus image fusion method on curvelet transforms

ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies

Volumn , Issue , 2010, Pages 1154-1157

  Lu, Huimin ^a,b   Li, Yujie ^a,b   Kitazono, Yuhki ^a   Zhang, Lifeng ^a   Yang, Shiyuan ^a   Serikawa, Seiichi ^a  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^b YANGZHOU UNIVERSITY   (China)

Author keywords

Curvelet transform; Image fusion; Local energy (LE); Multi focus image

Indexed keywords

CURVELET TRANSFORMS; DEPTH OF FOCUS; FUSED IMAGES; HIGH FREQUENCY HF; LOCAL ENERGY; LOW FREQUENCY; MULTIFOCUS IMAGE FUSION; MULTIFOCUS IMAGES; NUMERICAL EXPERIMENTS; OPTICAL LENS; PIXEL INFORMATION; SLIDING WINDOW; VISUAL EFFECTS;

INFORMATION TECHNOLOGY; NUMERICAL METHODS; VISUAL COMMUNICATION; WAVELET TRANSFORMS;

IMAGE FUSION;

EID: 78651257394     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCIT.2010.5665164     Document Type: Conference Paper

References (9)

1. X.L. HU,and J. SHEN, "An algorithm on image fusion based on median pyramid", Microelectronics & Computer. vol.25, No.9, pp.165-165, September, 2008.
2. P. Gonzalo, and Jesús Manuel de la Cruz," A wavelet-based image fusion tutorial", Parttern Regognition,vol.37, no.9,pp:1855-1872, March, 2004.
3. L. ZHANG, B.K. CHANG, and S.T. YU, "Fusion arithmetic and result analysis of CT-MRI images", Chinese Medical Equipment Journal. vol.10, 2006.
4. Emmanuel Jean Candes, "Ridgelets: theory and applications", Stanford University, August, 1998.
5. J. YANG, and Z.M. ZHAO, "Multi-focus image fusion method based on curvelet transform", Opto-Electronic Engineering vol.34, no.6, pp.67-71, June, 2007.
6. Q. ZHANG, and B.L. GUO, "Fusion of remote sensing images based on the second generation Curvelet transform", Optics and Precision Engineering, vol.15, no.7, pp.1130-1137, Jul.2007.
7. H. NOBUHARA, "Curvelet transform and bandelet transform", Japan Society for Fuzzy Theory and intelligent informatics : Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, vol. 17, no. 6, pp. 696-696, Dec. 2005
8. E.J. Candes and D.L. Donoho, "Curvelets: A surprisingly effective nonadaptive representation for objects with edges", Curve and Surface Fitting: Saint-Malo, A.Cohen,C. Rabut, and L.L. Schumaker, Eds. Nashville, TN: Vanderbilt University Press, 1999.
9. R.S. WANG, "Information Fusion", Beijing, Science Press. 2007. pp.161-163.