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 moiré 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.

Three-dimensional shape measurement for the steep surface using DMD camera

“…PZT receives the feedback and execute the 3-axis adjustments until accurate alignment between the segment of DMD and the pixel of CCD is completed. The accurate alignment approach using the four-step procedure was discussed in detail in Ref 32 .…”

Compressed Sensing Technology for Spectral Reconstruction Based on Maximum Entropy Criterion

“…Spectral re ectance is associated with unique color information and rich texture information. Reconstruction of the spectral re ectance on every pixel can assist in the accurate reproduction of colors and object identi cation 3 . Spectral reconstruction technology is widely used in printed matter anti-counterfeiting, artwork restoration, construction industry and other elds.…”