Work

Adaptive contrast enhancement and effect of non-linear exponential merit function on computer-generated holograms

Year: 2024

Type: article

Abstract: A merit function that integrates energy redistribution into the Gerchberg-Saxton method for computer-generated holograms is introduced for enhancing the contrast and increasing the dynamic range of reconstructed holographic images. It employs a non-linear exponent to adjust intensity weighting and a dynamic range shift to selectively suppress noise in visually sensitive regions. The proposed non-linear merit function can bring about superior contrast ratios and maintain overall luminance, producing sharper and more vivid reconstructed holographic images. The optical reconstruction results indicate a 6.25% improvement in peak signal-to-noise ratio and a 67.85% improvement in dynamic range index.

Source: Applied Optics

DOI: 10.1364/ao.545144

Authors: Jiaqi Liu, Mike Pivnenko, Xiaomeng Sui, Daping Chu

Institution: Utrecht University

Language: English

Topic: Advanced Optical Imaging Technologies

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funder: Engineering and Physical Sciences Research Council

Award: EPSRC Centre for Doctoral Training in Connected Electronic and Photonic Systems (CEPS)