Multi-focus Image Fusion Based on Super-resolution and Group Sparse Representation

FENG Xin; HU Kai-qun; YUAN Yi; ZHANG Jian-hua; ZHAI Zhi-fen

doi:10.3788/gzxb20194807.0710003

[1] FENG Xin. Fusion of infrared and visible images based on Tetrolet framework［J］. Acta Photonica Sinica, 2019, 48(2): 0210001.

[2] LI Shu-tao, KANG Xu-dong, FANG Le-yuan. Pixel-level image fusion: a survey of the state of the art［J］. Information Fusion, 2017, 33(1): 100-112.

[3] GUO Li-qiang, DAI Ming, ZHU Ming. Multifocus color image fusion based on quaternion curvelet transform［J］. Optics Express, 2012, 20(17): 18846-18860.

[4] WANG Lei, LI Bing, TIAN Lian-fang. Multi-modal medical image fusion using the inter-scale and intra-scale dependencies between image shift-invariant shearlet coefficients［J］. Information Fusion, 2014, 19(1): 20-28.

[5] UPLA K, GAJJAR P, JOSHI M. An edge preserving multiresolution fusion:use of contourlet transform and MRF prior［J］. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(6): 3210-3220.

[6] LI Shu-tao, YANG Bing, HU Jian-wen. Performance comparison of different multi-resolution transforms for image fusion［J］. Information Fusion,2014, 12(2): 74-84.

[7] WRIGHT J, GANESH A, ZHOU Zi-han. Robust face recognition via sparse representation［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(2): 210-227.

[8] GUHA T, WARD R K. Learning sparse representations for human action recognition［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(8): 1576-1588.

[9] YUAN Xiao-tong, YAN Shui-cheng. Visual classification with multitask joint sparse representation［J］. IEEE Transactions on Image Processing, 2012, 21(10): 4349-4360.

[10] YANG Bing, LI Shu-tao. Multifocus image fusion and restoration with sparse representation［J］. IEEE Transactions on Instrumentation and Measurement, 2010, 59(4): 884-892.

[11] LIU Yu, LIU Shu-ping, WANG Zeng-fu. A general framework for image fusion based on multiscale transform and sparse representation［J］. Information Fusion, 2015, 24(7): 147-164.

[12] YIN Ming, ZHAN Yin-wei, PEI Hai-long. Co-sparse analysis operator learning for image fusion［J］. Journal of Jilin University (Engineering and Technology Edition), 2016, 46(6): 2052-2058.

[13] LIU Zhe, XU Tao, SONG Yu-qing. Image fusion technology based on NSCT and robust principal component analysis model with similar information［J］. Journal of Jilin University (Engineering and Technology Edition), 2018, 48(5): 1614-1620.

[14] ZHAO Chun-hui, GUO Yun-ting. Fast image fusion algorithm based on sparse representation and non subsampled contourlet transform［J］.Journal of Electronics & Information Technology, 2016, 38(7): 1773-1780.

[15] NEJATI M, SAMAVI S, SHIRANI S. Multi-focus image fusion using dictionary based sparse representation［J］. Information Fusion, 2015, 25(9): 72-84.

[16] YIN Hong-peng, LI Yan-xia, CHAI Yi. A novel sparse-representation-based multi-focus image fusion approach［J］. Neurocomputing, 2016, 216(12): 216-229.

[17] ZHANG Qiang, SHI Tao, WANG Fan. Robust sparse representation based multi-focus image fusion with dictionary construction and local spatial consistency［J］. Pattern Recognition, 2018, 83(11): 299-313.

[18] ZHANG Qiang, LIU Yi, BLUM R S, et al. Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: a review［J］. Information Fusion, 2018, 40(3): 57-75.

[19] VIJITHA B, REDDY K S. Image reconstruction with super-resolution［J］. International Journal of Research in Computer Applications and Robotics. 2016, 4(9): 36-40.

[20] LIU Yu, WANG Zeng-fu. Simultaneous image fusion and denoising with adaptive sparse representation［J］. IET Image Process, 2015, 9 (5): 347-357.

[21] LI Shu-tao, YIN Hai-tao, FANG Le-yuan. Group-sparse representation with dictionary learning for medical image de-noising and fusion［J］. IEEETransactions on Bio-medical Engineering, 2012, 59(12): 3450-3459.

[22] MAJUMDAR A, WARD R K. Fast group sparse classification［J］. Canadian Journal of Electrical and Computer Engineering, 2016, 34(4): 136-144.

[23] YIN Hong-peng, LI Yan-xia, CHAI Yi, et al. A novel sparse-representation-based multi-focus image fusion approach［J］. Neurocomputing, 2016, 216 (7): 16-229.

[24] LIU Zheng, ERIK B, XUE Zhi-yun. Objective assessment of multiresolution image fusion algorithms for context enhancement in night vision: acomparative study［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(1): 94-109.