Computational Imaging for Simultaneous Image Restoration and Super-Resolution Image Reconstruction of Single-Lens Diffractive Optical System

doi:10.3390/app12094753

CIOMP OpenIR

	Computational Imaging for Simultaneous Image Restoration and Super-Resolution Image Reconstruction of Single-Lens Diffractive Optical System
	K. Liu; X. Yu; Y. S. Xu; Y. L. Xu; Y. Yao; N. Di; Y. F. Wang; H. Wang and H. H. Shen
	2022
发表期刊	Applied Sciences-Basel
卷号	12 期号:9 页码:16
摘要	Diffractive optical elements (DOEs) are difficult to apply in natural scenes imaging covering the visible bandwidth-spectral due to their strong chromatic aberration and the decrease in diffraction efficiency. Advances in computational imaging make it possible. In this paper, the image quality degradation model of DOE in bandwidth-spectral imaging is established to quantitatively analyze its degradation process. We design a DDZMR network for a single-lens diffractive lens computational imaging system, which can simultaneously perform image restoration and image super-resolution reconstruction on degraded images. The multimodal loss function was created to evaluate the reconstruction of the diffraction imaging degradation by the DDZMR network. The prototype physical prototype of the single-lens harmonic diffraction computational imaging system (SHDCIS) was built to verify the imaging performance. SHDCIS testing showed that optical chromatic aberration is corrected by computational reconstruction, and the computational imaging module can interpret an image and restore it at 1.4 times the resolution. We also evaluated the performance of the DDZMR model using the B100 and Urban100 datasets. Mean Peak Signal to Noise Ratio (PSNR)/Structural Similarity (SSIM) were, respectively, 32.09/0.8975 and 31.82/0.9247, which indicates that DDZMR performed comparably to the state-of-the-art (SOTA) methods. This work can promote the development and application of diffractive imaging systems in the imaging of natural scenes in the bandwidth-spectrum.
DOI	10.3390/app12094753
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收录类别	sci
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/66481
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	K. Liu,X. Yu,Y. S. Xu,et al. Computational Imaging for Simultaneous Image Restoration and Super-Resolution Image Reconstruction of Single-Lens Diffractive Optical System[J]. Applied Sciences-Basel,2022,12(9):16.
APA	K. Liu.,X. Yu.,Y. S. Xu.,Y. L. Xu.,Y. Yao.,...&H. Wang and H. H. Shen.(2022).Computational Imaging for Simultaneous Image Restoration and Super-Resolution Image Reconstruction of Single-Lens Diffractive Optical System.Applied Sciences-Basel,12(9),16.
MLA	K. Liu,et al."Computational Imaging for Simultaneous Image Restoration and Super-Resolution Image Reconstruction of Single-Lens Diffractive Optical System".Applied Sciences-Basel 12.9(2022):16.

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