[18a-PA2-1~7] 1.3 Novel technologies and interdisciplinary engineering

▲ [18a-PA2-2] Super-resolution Block-wise Compressive Imaging and its Binary Sensing Matrices Design

〇Jun Ke¹, Edmund Y. Lam² (1.Beijing Institute of Technology, 2.University of Hong Kong)

Keywords:compressive imaging, super-resolution imaging

In block-wise compressive imaging, system resolution and imaging speed are two important factors limiting its applications. The former is restricted by the resolution of a spatial light modulator. To overcome this restriction, we study sub-pixel shift super-resolution for block-wise compressive imaging. For each object block, by moving the lens between an object and a spatial light modulator, multiple sets of measurements for different sub-pixel shift positions are collected for reconstruction. To improving system imaging speed, we design binary sensing matrices by formulating and solving an optimization problem. With infared object examples, we do numerical experiments to demonstrates our idea. The super-resolution system with designed binary sensing matrices presents superior performance than conventional systems.