Accurate Pixel-to-Pixel Alignment Method With Six-Axis Adjustment for Computational Photography

Abstract

Computational photography has been a new research focus over the last two decades. Most of the computational imaging applications involve pixel-to-pixel correspondence adjustment between the spatial light modulator and the sensor. In this study, an accuracy pixel-to-pixel alignment method with six-axis adjustment is proposed. Specifically, the relations between the moire fringe distribution and the six degree of freedom (DoF) displacements are characterized. A special pattern called five-grating pattern is designed for monitoring and adjusting the six DoF displacements in a four-step alignment procedure. Finally, the experimental results verify the performance of the proposed method by discussing the alignment accuracy.