@inproceedings{b67fb46721984664b1072a11763d4f05,
title = "Multiscale compressed sensing method for ROI coding",
abstract = "In order to obtain more information about the target from UAV images through limited wireless channel capacity, a multiscale ROI compressed sensing method was proposed. The 9/7 biorthogonal wavelet transform was carried out on the image to concentrate the energy to the low frequency domain. The compressed sensing method was executed in the wavelet domain by assigning higher measurement rate to low frequency component of the whole image, and lower ones for the high frequencies component of the ROI, which would decrease with the rising of the frequencies. Finally, the smoothed projected Landweber (SPL) method was used for reconstruction. Experiments demonstrate that the proposed method can improve the PSNR by 0.6-1.2 dB compared with the state of art methods.",
keywords = "BCS, Compressed Sensing, Multiscale, Region Of Interest, UAV",
author = "Haibo Lv and Derong Chen and Jiulu Gong and Xiangxiao Gao and Zepeng Wang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Unmanned Systems, ICUS 2017 ; Conference date: 27-10-2017 Through 29-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICUS.2017.8278316",
language = "English",
series = "Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "49--54",
editor = "Xin Xu",
booktitle = "Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017",
address = "United States",
}