Laser & Optoelectronics Progress, Volume. 60, Issue 20, 2011001(2023)
Optimized Reconstruction of Computational Ghost Imaging Based on Image Fusion
[1] Pittman T B, Shih Y H, Strekalov D V et al. Optical imaging by means of two-photon quantum entanglement[J]. Physical Review A, 52, R3429-R3432(1995).
[2] Shapiro J H. Computational ghost imaging[J]. Physical Review A, 78, 061802(2008).
[3] Bromberg Y, Katz O, Silberberg Y. Ghost imaging with a single detector[J]. Physical Review A, 79, 053840(2009).
[4] Zhang W W, Yu D Q, Han Y C et al. Depth estimation of multi-depth objects based on computational ghost imaging system[J]. Optics and Lasers in Engineering, 148, 106769(2022).
[5] Moodley C, Forbes A. Super-resolved quantum ghost imaging[J]. Scientific Reports, 12, 10346(2022).
[6] Gao C. Research on the influence of the internal and external factors on the quality of ghost imaging[D](2019).
[7] Gao C, Wang Q W, Wang S et al. Single pixel imaging based on semi-continuous wavelet transform[J]. Chinese Physics B, 30, 211-219(2021).
[8] Li M Y, He R Q, Chen Q et al. Research on ghost imaging method based on wavelet transform[J]. Journal of Optics, 19, 095202(2017).
[9] Li M Y. Research on ghost imaging technology based on wavelet transform[D](2018).
[10] Candes E J, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 52, 489-509(2006).
[11] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 52, 1289-1306(2006).
[12] Kaur H, Koundal D, Kadyan V. Image fusion techniques: a survey[J]. Archives of Computational Methods in Engineering, 28, 4425-4447(2021).
[13] Mi C, Tang X F, Wei F L. Image decomposition and reconstruction based on Haar wavelet transform[J]. Laboratory Research and Exploration, 22, 78-81(2003).
[14] Huang Y F, Yuan F, Xiao F Q et al. Underwater image enhancement based on color restoration and dual image wavelet fusion[J]. Signal Processing: Image Communication, 107, 116797(2022).
[15] Kong Z, Yang H T, Zheng F J et al. Research on multi-focal image fusion based on wavelet transform[J]. Journal of Physics: Conference Series, 1994, 012018(2021).
[16] Ramakrishnan V, Pete D J. Haar wavelet-based fusion of multiple exposure images for high dynamic range imaging[J]. SN Computer Science, 3, 129(2022).
[17] Li C M, Yang X Z. Multifocus image fusion method using discrete fractional wavelet transform and improved fusion rules[J]. Journal of Modern Optics, 68, 1-13(2021).
[18] Bhardwaj J, Nayak A. Haar wavelet transform-based optimal Bayesian method for medical image fusion[J]. Medical & Biological Engineering & Computing, 58, 2397-2411(2020).
[19] Rahmani A I, Almasi M, Saleh N et al. Image fusion of noisy images based on simultaneous empirical wavelet transform[J]. Traitement Du Signal, 37, 703-710(2020).
[20] Zhang X L, Li X F, Feng Y C. Image fusion based on simultaneous empirical wavelet transform[J]. Multimedia Tools and Applications, 76, 8175-8193(2017).
[21] Tao B J, Wang J R. Overview of wavelet-analysis-based image fusion[J]. Computer Engineering and Applications, 41, 16-19(2005).
[22] Zhang X L, Li X F, Li J. Validation and correlation analysis of metrics for evaluating performance of image fusion[J]. Acta Automatica Sinica, 40, 306-315(2014).
[23] Long B, Chen Y, Zhang L N et al. Grouping expansion method of packet loss data in ghost imaging[J]. Acta Optica Sinica, 42, 0720001(2022).
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Chao Deng, Chao Gao, Xiaoqian Wang, Zhihai Yao. Optimized Reconstruction of Computational Ghost Imaging Based on Image Fusion[J]. Laser & Optoelectronics Progress, 2023, 60(20): 2011001
Category: Imaging Systems
Received: Oct. 10, 2022
Accepted: Dec. 12, 2022
Published Online: Oct. 13, 2023
The Author Email: Yao Zhihai (yaozh@cust.edu.cn)