Infrared and Visible Image Fusion Based on Significant Matrix and Neural Network

Yu Shen; Xiaopeng Chen; Yubin Yuan; Lin Wang; Hongguo Zhang

doi:10.3788/LOP57.201007

[1] Jin X, Jiang Q, Yao S W et al. A survey of infrared and visual image fusion methods[J]. Infrared Physics & Technology, 85, 478-501(2017).

[2] Ma J Y, Ma Y, Li C. Infrared and visible image fusion methods and applications: a survey[J]. Information Fusion, 45, 153-178(2019).

[3] Li S T, Kang X D, Fang L Y et al. Pixel-level image fusion: a survey of the state of the art[J]. Information Fusion, 33, 100-112(2017).

[4] Guo Q M, Wang Y, Li H S. Anti-halation method of visible and infrared image fusion based on improved IHS-Curvelet transform[J]. Infrared and Laser Engineering, 47, 440-448(2018).

[5] Yang S Y, Wang M, Jiao L C et al. Image fusion based on a new contourlet packet[J]. Information Fusion, 11, 78-84(2010).

[6] Wang F, Cheng Y M. Improved infrared and gray visible light image fusion algorithm based on Shearlet transform[J]. Control and Decision, 32, 703-708(2017).

[7] Zhang Q, Maldague X. An adaptive fusion approach for infrared and visible images based on NSCT and compressed sensing[J]. Infrared Physics & Technology, 74, 11-20(2016).

[8] Jin X, Jiang Q, Yao S W et al. Infrared and visual image fusion method based on discrete cosine transform and local spatial frequency in discrete stationary wavelet transform domain[J]. Infrared Physics & Technology, 88, 1-12(2018).

[9] Feng X. Fusion of infrared and visible images based on Tetrolet framework[J]. Acta Photonica Sinica, 48, 0210001(2019).

[10] Easley G, Labate D, Lim W Q. Sparse directional image representations using the discrete shearlet transform[J]. Applied and Computational Harmonic Analysis, 25, 25-46(2008).

[11] Easley G R, Labate D, Lim W Q. Optimally sparse image representations using shearlets. [C]∥2006 Fortieth Asilomar Conference on Signals, Systems and Computers, October 29-November 1, 2006, Pacific Grove, CA, USA. New York: IEEE, 974-978(2006).

[12] Jiang Z T, Wu H, Zhou X L. Infrared and visible image fusion algorithm based on improved guided filtering and dual-channel spiking cortical model[J]. Acta Optica Sinica, 38, 0210002(2018).

[13] Wu Y Q, Wang Z L. Infrared and visible image fusion based on target extraction and guided filtering enhancement[J]. Acta Optica Sinica, 37, 0810001(2017).

[14] Kong W W, Wang B H, Li B B[M]. Image fusion multiresolution non-subsampled, 238-241(2015).

[15] He K M, Sun J, Tang X O. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 1397-1409(2013).

[16] Achanta R, Hemami S, Estrada F et al. Frequency-tuned salient region detection. [C]∥2009 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25,2009, Miami, FL, USA. New York: IEEE, 1597-1604(2009).

[17] Wang Y L. Research on the medical image fusion algorithm based on NSST Xi'an:[D]. Xidian University(2018).

[18] Huang W, Jing Z L. Evaluation of focus measures in multi-focus image fusion[J]. Pattern Recognition Letters, 28, 493-500(2007).

[19] Shreyamsha Kumar B K. Image fusion based on pixel significance using cross bilateral filter[J]. Signal, Image and Video Processing, 9, 1193-1204(2015).

[20] Liu Y, Chen X, Ward R K et al. Image fusion with convolutional sparse representation[J]. IEEE Signal Processing Letters, 23, 1882-1886(2016).

[21] Zhang Q H, Fu Y L, Li H F et al. Dictionary learning method for joint sparse representation-based image fusion[J]. Optical Engineering, 52, 057006(2013).

[22] Liu C H, Qi Y, Ding W R. Infrared and visible image fusion method based on saliency detection in sparse domain[J]. Infrared Physics & Technology, 83, 94-102(2017).