Compressive imaging based on multi-scale modulation and reconstruction in spatial frequency domain

• 作 者: Fan Liu Xue-Feng Liu Ruo-Ming Lan Xu-Ri Yao Shen-Cheng Dou Xiao-Qing Wang Guang-Jie Zhai
• 机 构: Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science C
• 出 处: 中国物理B（英文版）
• 发表日期: 2021年1期
• 关键词: compressed sensing imaging quality spatial frequency domain multi-scale modulati

Imaging quality is a critical component of compressive imaging in real applications. In this study, we propose a compressive imaging method based on multi-scale modulation and reconstruction in the spatial frequency domain. Theo-retical analysis and simulation show the relation between the measurement matrix resolution and compressive sensing (CS) imaging quality. The matrix design is improved to provide multi-scale modulations, followed by individual reconstruction of images of different spatial frequencies. Compared with traditional single-scale CS imaging, the multi-scale method provides high quality imaging in both high and low frequencies, and effectively decreases the overall reconstruction error. Experimental results confirm the feasibility of this technique, especially at low sampling rate. The method may thus be helpful in promoting the implementation of compressive imaging in real applications.