• Laser & Optoelectronics Progress
  • Vol. 56, Issue 1, 010301 (2019)
Le Luo1, Qian Chen1, Xingjiong Liu1, Yiyun Yan1, Guohua Gu1, Weiji He1、*, and Ya Wang2
Author Affiliations
  • 1 School of Electronic Engineering and Optoelectronics, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
  • 2 Department of Basic Science of Taizhou Institute of Science and Technology, Nanjing University of Science and Technology, Taizhou, Jiangsu 225300, China
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    DOI: 10.3788/LOP56.010301 Cite this Article Set citation alerts
    Le Luo, Qian Chen, Xingjiong Liu, Yiyun Yan, Guohua Gu, Weiji He, Ya Wang. Colored Adaptive Compressed Imaging Based on Extended Wavelet Trees[J]. Laser & Optoelectronics Progress, 2019, 56(1): 010301 Copy Citation Text show less
    References

    [1] Wang M, Li Z Y, Wang C et al. Key frame extraction algorithm of sign language based on compressed sensing and SURF features[J]. Laser & Optoelectronics Progress, 55, 051013(2018).

    [2] Li Q F, Guo K Y, Tang B et al. Scattering center modelling based on compressed sensing principle from under-sampling scattering field data. [C]∥IEEE International Geoscience and Remote Sensing Symposium, 2672-2675(2016).

    [3] Liu H L, Wang C J, Chen Y. FBG spectral compression and reconstruction method based on segmented adaptive sampling compressed sensing[J]. Chinese Journal of Lasers, 45, 0306004(2018).

    [4] Chen Y, Fan X, Cheng Y B et al. Compressive sensing ghost imaging based on neighbor similarity[J]. Acta Optica Sinica, 38, 0711001(2018).

    [5] Yan Y Y. Color adaptive compressed ghost imaging[D]. Nanjing: Nanjing University of Science and Technology, 1-5(2016).

    [6] Chen T, Li Z W, Wang J L et al. Imaging system of single pixel camera based on compressed sensing[J]. Optics and Precision Engineering, 20, 2523-2530(2012).

    [7] Welsh S S, Edgar M P, Bowman R et al. Fast full-color computational imaging with single-pixel detectors[J]. Optics Express, 21, 23068-23074(2013). http://www.ncbi.nlm.nih.gov/pubmed/24104222

    [8] Averbuch A, Dekel S, Deutsch S. Adaptive compressed image sensing using dictionaries[J]. SIAM Journal on Imaging Sciences, 5, 57-89(2012). http://dl.acm.org/citation.cfm?id=2340243

    [9] Dai H D, Gu G H, He W J et al. Adaptive compressed sampling based on extended wavelet trees[J]. Applied Optics, 53, 6619-6628(2014). http://www.ncbi.nlm.nih.gov/pubmed/25322362

    [10] Huo Y R, He H J, Chen F. Compressive adaptive ghost imaging via sharing mechanism and fellow relationship[J]. Applied Optics, 55, 3356-3367(2016). http://www.ncbi.nlm.nih.gov/pubmed/27140111

    [11] Huo Y R, He H J, Chen F et al. Adaptive single-pixel imaging based on guided coefficients[J]. Journal of the Optical Society of America A, 34, 39-51(2017). http://www.ncbi.nlm.nih.gov/pubmed/28059223

    [12] Liu X J. Experimental study on color adaptive compressed sampling method[D]. Nanjing: Nanjing University of Science and Technology, 16-22(2016).

    [13] Yan Y Y, Dai H D, Liu X J et al. Colored adaptive compressed imaging with a single photodiode[J]. Applied Optics, 55, 3711-3718(2016). http://www.ncbi.nlm.nih.gov/pubmed/27168280

    [14] Lian Q S, Xia C C. Compressed sensing of color images based on local Gaussian model in the dual-tree complex wavelet[J]. Laser & Optoelectronics Progress, 48, 101001(2011).

    [15] Majumdar A, Ward R K. Non-convex group sparsity: application to color imaging. [C]∥IEEE International Conference on Acoustics, Speech and Signal Processing, 469-472(2010).

    [16] Wang P. The research on compressive sensing of color image[D]. Changsha: Hunan University, 29-38(2014).

    [17] Zheng Y L, Liu S W. The newest color difference formula: CIEDE2000[J]. Printing Quality & Standardization, 7, 34-37(2004).

    Le Luo, Qian Chen, Xingjiong Liu, Yiyun Yan, Guohua Gu, Weiji He, Ya Wang. Colored Adaptive Compressed Imaging Based on Extended Wavelet Trees[J]. Laser & Optoelectronics Progress, 2019, 56(1): 010301
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