Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm

[1] Shah, P., Merchant, S.N., Desai, U.B. (2013). Multifocus and multispectral image fusion based on pixel significance using multiresolution decomposition. Signal Image and Video Processing, 7(1), 95-109.10.1007/s11760-011-0219-7Search in Google Scholar

[2] Chai, Y., Li, H.F., Li, Z.F. (2011). Multifocus image fusion scheme using focused region detection and multiresolution. Optics Communications, 284 (19), 4376-4389.10.1016/j.optcom.2011.05.046Search in Google Scholar

[3] Zhang, B.H., Zhang, C.T., Liu, Y.Y., Wu, J.S., He, L. (2014). Multi-focus image fusion algorithm based on compound PCNN in Surfacelet domain. Optik, 125(1), 296-300.10.1016/j.ijleo.2013.07.002Search in Google Scholar

[4] Goshtasby, A.A., Nikolov, S.G. (2007). Image fusion: Advances in the state of the art. Information Fusion, 8(2), 114-118.10.1016/j.inffus.2006.04.001Search in Google Scholar

[5] Smith, M.I., Heather, J.P. (2005). Review of image fusion technology in 2005. In Thermosense XXVII. SPIE, Vol. 5782, 29-45.10.1117/12.597618Search in Google Scholar

[6] Yang, B., Jing, Z.L., Zhao, H.T. (2010). Review of pixel-level image fusion. Journal of Shanghai Jiaotong University (Science), 15 (1), 6-12.10.1007/s12204-010-7186-ySearch in Google Scholar

[7] Li, H., Manjunath, B.S., Mitra, S.K. (1995). Multisensor image fusion using the wavelet transform. Graphical Models and Image Processing, 57 (3), 235- 245.10.1006/gmip.1995.1022Search in Google Scholar

[8] Li, S.T., Kwok, J.T., Wang, Y. (2002). Multifocus image fusion using artificial neural networks. Pattern Recognition Letters, 23 (8), 985-997.10.1016/S0167-8655(02)00029-6Search in Google Scholar

[9] Li, S.T., Yang, B. (2008). Multifocus image fusion using region segmentation and spatial frequency. Image and Vision Computing, 26 (7), 971-979.10.1016/j.imavis.2007.10.012Search in Google Scholar

[10] Zhang, Y.J., Ge, L.L. (2009). Efficient fusion scheme for multi-focus images by using blurring measure. Digital Signal Processing, 19 (2), 186-193.10.1016/j.dsp.2008.11.002Search in Google Scholar

[11] Wang, Z.B., Ma, Y.D., Gu, J.S. (2010). Multi-focus image fusion using PCNN. Pattern Recognition, 43(6), 2003-2016.10.1016/j.patcog.2010.01.011Search in Google Scholar

[12] De, I., Chanda, B. (2006). A simple and efficient algorithm for multifocus image fusion using morphological wavelets. Signal Processing, 86 (5), 924-936.10.1016/j.sigpro.2005.06.015Search in Google Scholar

[13] Redondo, R., Sroubek, F., Fischer, S., Cristobal, G. (2009). Multifocus image fusion using the log-Gabor transform and a Multisize Windows technique. Information Fusion, 10 (2), 163-171.10.1016/j.inffus.2008.08.006Search in Google Scholar

[14] Petrovic, V.S., Xydeas, C.S. (2004). Gradient-based multiresolution image fusion. IEEE Transactions on Image Processing, 13 (2), 228-237.10.1109/TIP.2004.823821Search in Google Scholar

[15] Liu, G.X., Yang, W.H. (2002). A waveletdecomposition-based image fusion scheme and its performance evaluation. Acta Automatica Sinica, 28(6), 927-934.Search in Google Scholar

[16] Pajares, G., Cruz, J.M.D.L. (2004). A wavelet-based image fusion tutorial. Pattern Recognition, 37 (9), 1855-1872.10.1016/j.patcog.2004.03.010Search in Google Scholar

[17] Chu, H., Li, J., Zhu, W.L. (2005). Multi-focus image fusion scheme with wavelet transform. Opto-Electronic Engineering, 32 (8), 59-63.Search in Google Scholar

[18] Zheng, Y.F., Essock, E.A., Hansen, B.C., Haun, A.M. (2007). A new metric based on extended spatial frequency and its application to DWT based fusion algorithms. Information Fusion, 8 (2), 177-192.10.1016/j.inffus.2005.04.003Search in Google Scholar

[19] Yang, Y., Park, D.S., Huang, S.Y., Yang, J.C. (2010). Fusion of CT and MR images using an improved wavelet based method. Journal of X-Ray Science and Technology, 18 (2), 157-170.10.3233/XST-2010-024320495243Search in Google Scholar

[20] Chen, Y.Q., Chen, L.Q., Gu, H.J., Wang, K. (2010). Technology for multi-focus image fusion based on wavelet transform. In Third International Workshop on Advanced Computational Intelligence, 25-27 August 2010. IEEE, 405-408.Search in Google Scholar

[21] Tian, J., Chen, L., Ma, L.H., Yu, W.Y. (2011). Multifocus image fusion using a bilateral gradient-based sharpness criterion. Optics Communications, 284 (1), 80-87.10.1016/j.optcom.2010.08.085Search in Google Scholar

[22] Burt, P.J., Kolczynski, R.J. (1993). Enhanced image capture through fusion. In Fourth International Conference on Computer Vision, 1-14 May 1993. IEEE, 173-182.10.1109/ICCV.1993.378222Search in Google Scholar

[23] Deshmukh, M., Bhosle, U. (2011). A Survey of image registration. International Journal of Image Processing, 5 (3), 245-269.Search in Google Scholar

[24] Haghighat, M.B.A., Aghagolzadeh, A., Seyedarabi, H. (2011). A non-reference image fusion metric based on mutual information of image features. Computers and Electrical Engineering, 37 (5), 744-756.10.1016/j.compeleceng.2011.07.012Search in Google Scholar

[25] Xydeas, C.S., Petrovic, V. (2000). Objective image fusion performance measure. Electronics Letters, 36(4), 308-309.10.1049/el:20000267Search in Google Scholar

[26] Piella, G., Heijmans, H. (2003). A new quality metric for image fusion. In International Conference on Image Processing (ICIP 2003), 14-17 September 2003. IEEE, 173-176.10.1109/ICIP.2003.1247209Search in Google Scholar