Quantitative analysis of effect of tilted misalignment on image quality in integral imaging system

Yujiao Chen; Jing Chen; Liang Nie

doi:10.1117/12.2580320

5 November 2020 Quantitative analysis of effect of tilted misalignment on image quality in integral imaging system

Yujiao Chen, Jing Chen, Liang Nie

Proceedings Volume 11565, AOPC 2020: Display Technology; Photonic MEMS, THz MEMS, and Metamaterials; and AI in Optics and Photonics; 115650B (2020) https://doi.org/10.1117/12.2580320
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

We quantitatively analyze the effect of the tilted misalignment between the display panel and the reconstruction lenslet array on the reconstructed image quality in integral imaging system. First, the geometric optics and the ray tracing theory are utilized to build the tilted misalignment theoretical model based on the integral imaging principle by considering the optical axis tilt and the pixel information dislocation. Then, the degradation of the image quality in the integral imaging system resulted from the tilted misalignment is simulated on the basis of the model mentioned above. Finally, the peak signal-to-noise ratio (PSNR) is introduced to quantitatively characterize the influence degree of the tilted misalignment on the reconstructed image quality, and the limitations of the tilted misalignment are given corresponding to the human vision system observable threshold for different distance between the display panel and the reconstruction lenslet array. Experimental results show that the smaller the distance between the display panel and the reconstruction lenslet array is, the larger the tilted misalignment limitation is. Research results will provide theoretical support for the parameters design and assembly of the display module in an integral imaging system.

Citation Download Citation

Yujiao Chen, Jing Chen, and Liang Nie "Quantitative analysis of effect of tilted misalignment on image quality in integral imaging system", Proc. SPIE 11565, AOPC 2020: Display Technology; Photonic MEMS, THz MEMS, and Metamaterials; and AI in Optics and Photonics, 115650B (5 November 2020); https://doi.org/10.1117/12.2580320

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KEYWORDS

Image quality

Integral imaging

Imaging systems

3D image reconstruction

3D image processing

3D displays

Geometrical optics

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