Optical Design of Harmonic Diffractive Infrared Dual-Band and Dual-Field System

Yan, Li; Bao, 张葆 Zhang; Yongfeng, 洪永丰 Hong; Chunlei, 赵春蕾 Zhao

doi:10.3788/aos201333.1122001

光学学报

2013

DOI: 10.3788/aos201333.1122001

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Optical Design of Harmonic Diffractive Infrared Dual-Band and Dual-Field System

Li Yan¹,

张葆 Zhang Bao²,

洪永丰 Hong Yongfeng³

et al.

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2024

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“…However, it is still unable to compensate for the chromatic aberration of diffraction. [7] Use the back-end correction algorithm or [8] join the rear lens group to compensate for chromatic aberration.…”

mentioning

confidence: 99%

Computational imaging through chromatic aberration corrected diffractive optical element

Hu,

Jiang,

Song

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems

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Conventional imaging systems for correction of geometric and chromatic aberrations often use two dozen individual optical elements. In recent years, researchers have introduced computational imaging to this situation. By relaxing constraints on the front-end optical system and using algorithms for restoration on the image side it can achieve high-quality imaging. In this paper,we used single DOE (diffractive optical element) and CIT (computational imaging technology) to achieve clear imaging in the visible-band from 400nm to 700nm. In optical design, PSF (point spread function) with wavelength consistency are obtained by coding the structure height of the DOE. In image recovery, the characteristics of a large diameter of PSF proposes a multi-scale deconvolution restoration algorithm. The deconvolution smooth noise is used to the low scale, and then recover the original size to achieve image restoration. The simulation shows that the frequency of the traditional phase Fresnel diffraction lens in this band when the MTF at 0.1 is only 2.58p/mm, while this method can achieve 110p/mm under the same condition. The results prove that DOE based on computational imaging can achieve visible-band achromatic and clear imaging effects maintaining a thin and light physical structure.

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mentioning

confidence: 99%

Computational imaging through chromatic aberration corrected diffractive optical element

Hu,

Jiang,

Song

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems

View full text Add to dashboard Cite

show abstract

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Optical Design of Harmonic Diffractive Infrared Dual-Band and Dual-Field System

Cited by 1 publication

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Computational imaging through chromatic aberration corrected diffractive optical element

Computational imaging through chromatic aberration corrected diffractive optical element

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