Progressive Hologram Generation Based on Object Saliency

TL;DR

This paper introduces a progressive hologram generation method based on object saliency and wavelet transform, significantly reducing computation time while maintaining high-quality reconstruction of salient object parts.

Contribution

It presents a novel approach that combines object saliency with wavelet-based resolution decomposition for faster hologram generation.

Findings

Salient object parts are reconstructed with high quality.

The method reduces hologram computation time.

SSIM scores indicate improved reconstruction quality.

Abstract

Computer-generated hologram (CGH) is promised to realize the next generation of 3D visual media with life-changing applications. However, one of the essential obstacles to this technology is the time-consuming hologram computation. Thus, facilitating the computation of the generated hologram is of significant importance in this area. We propose a progressive hologram generation based on object saliency using discrete wavelet transform. In our method, the object is decomposed into 3 levels of resolution using wavelet transform. Then, based on the saliency of the object, a progressive resolution hologram is generated. Our model generates a low resolution hologram for non-salient areas of an object and a high-resolution hologram for salient areas, thus reducing CGH generation time. We applied our method to a number of objects and show that salient parts are reconstructed with high quality while it helps the process to speed up. Finally, we compare the SSIM of the reconstructed objects.