Depth layer slicing optimization method based on hybrid compressive light field

Qiyang Chen; Tao Chen; Liming Zhu; Zi Wang; Guoqiang Lv; Qibin Feng

doi:10.1117/12.3007209

13 December 2023 Depth layer slicing optimization method based on hybrid compressive light field

Qiyang Chen, Tao Chen, Liming Zhu, Zi Wang, Guoqiang Lv, Qibin Feng

Proceedings Volume 12942, First Advanced Imaging and Information Processing Conference (AIIP 2023); 129420D (2023) https://doi.org/10.1117/12.3007209
Event: 1st Advanced Imaging and Information Processing, 2023, Jinggangshan, China

Abstract

Compressive light field (CLF) is a promising light field display technology, and the traditional multiplicative CLF limits the number of layers due to the low transmittance of liquid crystals, which results in a small depth of field. Therefore, this paper proposes a three-dimensional display structure with a hybrid CLF. This structure utilizes a semi-transparent and semi-reflective mirror to superimpose two sets of multiplicative CLFs, each of which consists of two identical liquid crystal displays and a uniform backlight. The hybrid CLF has a greater depth of field and higher brightness, further improving image quality. Due to the properties of the hybrid CLF structure and the non-negative tensor (NTF) decomposition algorithm, the reconstructed image can suffer from layered image crosstalk, which leads to image quality degradation. We propose a method to reduce the hybrid CLF layered image crosstalk, and we validate the proposed method through computer simulations and optical experiments.

Citation Download Citation

Qiyang Chen, Tao Chen, Liming Zhu, Zi Wang, Guoqiang Lv, and Qibin Feng "Depth layer slicing optimization method based on hybrid compressive light field", Proc. SPIE 12942, First Advanced Imaging and Information Processing Conference (AIIP 2023), 129420D (13 December 2023); https://doi.org/10.1117/12.3007209

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