Multiscale Compressed Sensing Method for ROI Coding

被引：0

作者：

Lv, Haibo ^{[1
]}

Chen, Derong ^{[1
]}

Gong, Jiulu ^{[1
]}

Gao, Xiangxiao ^{[2
]}

Wang, Zepeng ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Mechatron Engn, Beijing 100081, Peoples R China

[2] Beijing Inst Astronaut Syst Engn, Beijing 100076, Peoples R China

来源：

PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS (ICUS) | 2017年

关键词：

UAV; compressed sensing; BCS; region of interest; multiscale;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：49 / 54

页数：6

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