LAUSR

Abstract The slow speed of compressive holography reconstruction limits its range of applications. The object function matrix has an equally spaced distribution in the reconstruction volume, which leads to the slow speed of compressive holography reconstruction. To improve the reconstruction speed and quality, the object function matrix can be optimized using a weighted spectral function. More specifically, the number and positions of the extrema of the weighted spectral function curve determine the object function matrix. To demonstrate the feasibility and validity of the optimization of the object function matrix in compressive holography reconstruction, we compared it with conventional compressive holography reconstruction using simulations and experiments on multilayer objects.