Laser & Optoelectronics Progress, Volume. 56, Issue 1, 010301(2019)

Colored Adaptive Compressed Imaging Based on Extended Wavelet Trees

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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    References(17)

    [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).

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

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

    [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).

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    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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    Paper Information

    Category: COHERENCE OPTICS AND STATISTICAL OPTICS

    Received: Aug. 6, 2018

    Accepted: Oct. 10, 2018

    Published Online: Aug. 1, 2019

    The Author Email: He Weiji (wslla@126.com)

    DOI:10.3788/LOP56.010301

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