Wavefront-driven optimization for high-quality hologram generation

Abstract

We propose a wavefront-driven optimization design method (WDOD) based on an indirect optimization strategy for computer-generated holograms, which optimizes the wavefront of a virtual object to enhance the imaging quality and to accelerate the convergence speed of amplitude-only holograms (AOHs). We experimentally demonstrated that the proposed method achieves faster convergence, higher imaging quality, and superior robustness compared to its traditional counterparts, such as gradient descent and modified Gerchberg-Saxton algorithms. Moreover, we have demonstrated that this method can be further extended to multi-plane and tilted-plane holography, which is critical to fields such as holographic displays, optical manipulation, and holographic lithography.