Random phase-free kinoform for large objects

TL;DR

This paper introduces a novel random phase-free kinoform method combined with error diffusion to improve large object reconstruction quality, reducing speckle noise while avoiding the need for random phase application.

Contribution

The authors propose a new approach that eliminates the need for random phase in kinoform calculation, enhancing image quality for large objects.

Findings

Effective reduction of speckle noise in reconstructed images

Improved reconstruction of large objects without random phase

Enhanced image quality using error diffusion technique

Abstract

We propose a random phase-free kinoform for large objects. When not using the random phase in kinoform calculation, the reconstructed images from the kinoform are heavy degraded, like edge-only preserved images. In addition, the kinoform cannot record an entire object that exceeds the kinoform size because the object light does not widely spread. In order to avoid this degradation and to widely spread the object light, the random phase is applied to the kinoform calculation; however, the reconstructed image is contaminated by speckle noise. In this paper, we overcome this problem by using our random phase-free method and error diffusion method.