221
Views
5
CrossRef citations to date
0
Altmetric
Review Article

Multifocus Image Fusion Based on Multiresolution Pyramid and Bilateral Filter

, &

References

  • S. Gautam, S. Singh, and N. Ramanpreet. “A centroid matching approach for real time foreground segmentation and occlusion handling,” Proc. 2015 1st Int. Conf. Next Gener. Comput. Technol. NGCT 2015, September, 2016, pp. 663–667.
  • F. Sadjadi, “Comparative image fusion analysais.” 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)-Workshops. IEEE, 2005.
  • W. Wang, and F. Chang, “A multi-focus image fusion method based on Laplacian pyramid,” J. Comput., Vol. 6, no. 12, pp. 2559–2566, 2011. doi: 10.4304/jcp.6.12.2559-2566
  • H. S. Singh, and N. S. Simrandeep, “Multi-resolution representation of multifocus image fusion using Gaussian and Laplacian pyramids,” Int. J. Adv. Res. Comput. Sci. Softw. Eng., Vol. 3, no. 11, pp. 1639–1642, 2013.
  • K. Kazemi, and H. A. Moghaddam, “Fusion of multifocus images using discrete multiwavelet transform,” IEEE Int. Conf. Multisens. Fusion Integr. Intell. Syst, pp. 167–172, 2003.
  • S.-G. Huang, “Wavelet for image fusion.” Graduate Institute of Communication Engineering and Department of Electrical Engineering, National Taiwan University, 2010.
  • V. D. Maitreyi Abhyankar, and A. Khaparde, “Spatial domain decision based image fusion using superimposition,” in 2016 IEEE/ACIS 15th Int. Conf. Comput. Inf. Sci., 2016, pp. 1–6.
  • Q. Zhang, Y. Liu, R. S. Blum, J. Han, and D. Tao, “Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review,” Inf. Fusion, Vol. 40, pp. 57–75, 2018. doi: 10.1016/j.inffus.2017.05.006
  • H. Singh, V. Kumar, and S. Bhooshan, “A novel approach for detail-enhanced exposure fusion using guided filter,” Sci. World J, Vol. 2014, pp. 1–8, 2014.
  • Q. Jiang, X. Jin, S. J. Lee, and S. Yao, “A novel multi-focus image fusion method based on stationary wavelet transform and local features of fuzzy sets,” IEEE. Access., Vol. 5, pp. 20286–20302, 2017. doi: 10.1109/ACCESS.2017.2758644
  • I. De, and B. Chanda, “A simple and efficient algorithm for multifocus image fusion using morphological wavelets,” Signal. Process., Vol. 86, no. 5, pp. 924–936, 2006. doi: 10.1016/j.sigpro.2005.06.015
  • S. Krishnamoorthy, and K. P. Soman, “Implementation and comparative study of image fusion algorithms,” Int. J. Comput. Appl, Vol. 9, no. 2, pp. 25–35, 2010.
  • K. Barlos, et al., “Image fusion by ratio of low pass filter,” Tetrahedron Lett., Vol. 30, no. 30, pp. 3943–3946, 1989. doi: 10.1016/S0040-4039(00)99290-6
  • W.-W. Wang, P.-L. Shui, and G.-X. Song. “Multifocus image fusion in wavelet domain,” pp. 2887–2890, 2004.
  • Y. Dai, Z. Zhou, and L. Xu, “The application of multi-modality medical image fusion based method to cerebral infarction,” Eurasip J. Image Video Process, Vol. 2017, no. 1, pp. 55, 2017. doi: 10.1186/s13640-017-0204-3
  • Q. Wang, and Y. Shen, “The effects of fusion structures on image fusion performances,” Conf. Rec. IEEE Instrum. Meas. Technol. Conf, Vol. 1, no. May, pp. 468–471, 2004.
  • H. Singh, V. Kumar, and S. Bhooshan, “Anisotropic diffusion for details enhancement in multiexposure image fusion,” ISRN Signal Process, Vol. 2013, pp. 1–18, 2013. doi: 10.1155/2013/928971
  • D. P. Bavirisetti, and R. Dhuli, “Two-scale image fusion of visible and infrared images using saliency detection,” Infrared Phys. Technol, Vol. 76, pp. 52–64, 2016. doi: 10.1016/j.infrared.2016.01.009
  • R. Kaur, and S. Singh. “An artificial neural network based approach to calculate BER in CDMA for multiuser detection using MEM,” Proc. 2016 2nd Int. Conf. Next Gener. Comput. Technol. NGCT 2016, no. October, pp. 450–455, 2017.
  • S. Li, X. Kang, J. Hu, and B. Yang, “Image matting for fusion of multi-focus images in dynamic scenes,” Inf. Fusion, Vol. 14, no. 2, pp. 147–162, 2013. doi: 10.1016/j.inffus.2011.07.001
  • D. Y. Tsai, Y. Lee, and E. Matsuyama, “Information entropy measure for evaluation of image quality,” J. Digit. Imaging, Vol. 21, no. 3, pp. 338–347, 2008. doi: 10.1007/s10278-007-9044-5
  • C. Pal, A. Chakrabarti, and R. Ghosh, “A brief survey of recent edge-preserving smoothing algorithms on digital images,” arXiv preprint arXiv:1503.07297, 2015.
  • S. Raman, and S. Chaudhuri, “Bilateral Filter Based Compositing for Variable Exposure Photography.” in Eurographics (short papers), pp. 1–4, 2009.
  • Bob Fisher. “Bilateral Filtering,” 2004.
  • J. J. Francis, and G. De Jager, “The bilateral median filter,” SAIEE Africa Res. J, Vol. 96, no. 2, pp. 106–111, 2005.
  • S. Liu, J. Zhang, and J. Chen. “Multi-focus image fusion using Gaussian filter and dynamic programming,” Proc. 9th Asia-Pacific Signal Inf. Process. Assoc. Annu. Summit Conf. APSIPA ASC 2017, vol. 2018-Febru, no. December, pp. 1182–1185, 2018.
  • A. Dogra, B. Goyal, and S. Agrawal, “Osseous and digital subtraction angiography image fusion via various enhancement schemes and Laplacian pyramid transformations,” Futur. Gener. Comput. Syst, Vol. 82, pp. 149–157, 2018. doi: 10.1016/j.future.2017.12.052
  • N. Indhumadhi, and G. Padmavathi, “Enhanced image fusion algorithm using Laplacian pyramid and spatial frequency based wavelet algorithm,” Int. J. Comput. Sci. Eng, Vol. 1, no. 5, pp. 298–303, 2011.
  • S. Paris, S. W. Hasinoff, and J. Kautz, “Local Laplacian filters: edge-aware image processing with a Laplacian pyramid,” Siggraph, Vol. 58, no. 3, pp. 81–91, 2011.
  • Y. Song, M. Li, Q. Li, and L. Sun, “A new wavelet based multi-focus image fusion scheme and its application on optical microscopy,” in IEEE Int. Conf. Robot. Biomimetics, ROBIO 2006, pp. 401–405.
  • A. Saha, G. Bhatnagar, and Q. M. J. Wu, “Mutual spectral residual approach for multifocus image fusion,” Digit. Signal Process, Vol. 23, no. 4, pp. 1121–1135, 2013. doi: 10.1016/j.dsp.2013.03.001
  • W. Xin, Y. L. Wei, and L. Fu. “A new multi-source image sequence fusion algorithm based on sidwt,” Proc. 2013 7th Int. Conf. Image Graph. ICIG 2013, no. 3, pp. 568–571, 2013.
  • G. BHATNAGAR, and Q. M. J. WU, “An image fusion framework based on human visual system in Framelet domain,” Int. J. Wavelets, Multiresolution Inf. Process., Vol. 10, no. 01, pp. 1250002, 2011. doi: 10.1142/S0219691311004444
  • Y. Zhang, X. Bai, and T. Wang, “Boundary finding based multi-focus image fusion through multi-scale morphological focus-measure,” Inf. Fusion, Vol. 35, pp. 81–101, 2017. doi: 10.1016/j.inffus.2016.09.006
  • D. P. Bavirisetti, and R. Dhuli, “Multi-focus image fusion using multi-scale image decomposition and saliency detection,” Ain Shams Eng. J., Vol. 9, no. 4, pp. 1103–1117, 2018. doi: 10.1016/j.asej.2016.06.011
  • P. Sreeja, and S. Hariharan, “An improved feature based image fusion technique for enhancement of liver lesions,” Biocybern. Biomed. Eng, Vol. 38, no. 3, pp. 611–623, 2018. doi: 10.1016/j.bbe.2018.03.004
  • M. Manchanda, and R. Sharma, “An improved multimodal medical image fusion algorithm based on fuzzy transform,” J. Vis. Commun. Image Represent, Vol. 51, no. December 2016, pp. 76–94, 2018. doi: 10.1016/j.jvcir.2017.12.011
  • A. Gosain, and J. Singh, “Proceedings of the 3rd international conference on frontiers of intelligent computing: theory and applications (FICTA) 2014. Vol. 327, pp. 305–316, 2015.
  • X. Jin, Q. Jiang, S. Yao, and K. He, “A survey of infrared and visual image fusion methods,” Infrared Phys. Technol., Vol. 85, pp. 478–501, 2017. doi: 10.1016/j.infrared.2017.07.010

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.