Quality improvement of unfiltered holography by optimizing high diffraction orders with fill factor

Computer-generated holography (CGH) suffers from high diffraction orders (HDOs) due to the pixelated nature of spatial light modulators (SLMs), typically requiring bulky optical filtering systems. To address this issue, a novel unfiltered holography approach known as the high-order gradient descent...

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Bibliographic Details
Published inOptics letters Vol. 49; no. 18; p. 5043
Main Authors Zhou, Jie, Wang, Jiabao, Yu, Guangwei, Wu, Yang, Wang, Mohan, Wang, Jun
Format Journal Article
LanguageEnglish
Published United States 15.09.2024
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ISSN1539-4794
DOI10.1364/OL.532678

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Summary:Computer-generated holography (CGH) suffers from high diffraction orders (HDOs) due to the pixelated nature of spatial light modulators (SLMs), typically requiring bulky optical filtering systems. To address this issue, a novel unfiltered holography approach known as the high-order gradient descent (HOGD) algorithm was previously introduced to optimize HDOs without optical filtering, enabling compact holographic displays. However, this algorithm overlooks a crucial physical parameter of SLMs-the fill factor-leading to limited optical quality. Here, we introduce a fill factor-based HOGD (FF-HOGD) algorithm, specifically designed to improve the quality of unfiltered holography by incorporating the fill factor into the optimization process. The quality advantage of FF-HOGD is demonstrated through numerical simulations and optical experiments.
ISSN:1539-4794
DOI:10.1364/OL.532678