応用物理学会春季・秋季学術講演会

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.