Publications by authors named "Shangnan Zhao"

Optical zoom systems have found widespread applications in fields such as security and mobile phone lenses. The theory of zoom lens design has also developed from the first order to the third order. To address the demands for large aperture, wide field, and aspheric surfaces, a zoom system design method based on high-order structural aberration coefficients is introduced.

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As optical systems continue to advance, non-uniform rational B-spline (NURBS) surfaces increasingly being considered in asymmetric optical systems due to their localized control characteristics. However, the representation of NURBS surfaces has complicated the analysis of these systems, leading to a significant computational burden. To address this challenge, we propose an optimizing algorithm for imaging optical systems based on high-precision ray tracing of NURBS surfaces.

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This paper proposes an optimization method aimed at addressing the challenge of balancing system imaging performance and tolerance performance. The method is based on the high-order nodal aberration theory. The calculation method for high-order aberration coefficients is derived, along with the change in aberrations after introducing tolerance perturbation.

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Clarifying the aberrations arising from freeform surfaces is of great significance for maximizing the potential of freeform surfaces in the design of optical systems. However, the current precision in calculating aberration contribution of freeform surface terms for non-zero field of view is insufficient, impeding the development of freeform imaging systems with larger field of view. This paper proposes a high-precision analysis of aberration contribution of freeform surface terms based on nodal aberration theory, particularly for non-zero field points.

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In this paper, a design method of diffraction structure based on metasurface is proposed for light splitting and focusing simultaneously. In the method, firstly, the light field calculation model of the proposed structure is established based on Fresnel diffraction and the transmittance function is calculated. Then, the model structural parameter selection mechanism is determined, and the spectrum resolution equation of the structure is derived.

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Herein, we propose a super-oscillation optical field foveated local super-resolution imaging method. Firstly, the post-diffraction integral equation of the foveated modulation device is constructed, the objective function and constraints are established, and the structural parameters of the amplitude modulation device are optimally solved by using genetic algorithm. Secondly, the solved data have been input into the software for point diffusion function analysis.

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Conventional imaging methods will cause a serious distortion for large object plane imaging with a limited object-to-sensor distance (OTSD). Here, we propose an imaging method based on the combination of microlens arrays and aperture arrays to realize the low-distortion, large object plane imaging range (OPIR) and compact design imaging at a close OTSD. Two-stage microlens arrays are utilized to reduce the distance between the object and sensor with low distortion, and two-stage aperture arrays are sandwiched between the microlens arrays to eliminate stray light between different microlenses.

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In this paper, an infrared target adaptive detection method based on the receptive field and lateral inhibition (LI) of the human visual system is proposed. In the proposed method, the direction parameters of a Gabor filter are adaptively determined according to the gradient direction, so that edges in the image can be detected without manual intervention. Meanwhile, background prediction based on LI is used for regulating the gray value in the image to achieve background suppression and target enhancement.

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