Freeform wide-angle camera lens enabling mitigable distortion

Design and discussion of off-axis reflective double-pass optical systems

In most off-axis reflective optical systems, light beams only pass each optical element once. A double-pass structure can increase the number of beam reflections while using the same number of elements as conventional systems, which can be advantageous for some optical systems, with benefits that include high system compactness and cost-friendliness. In this paper, a design method for off-axis reflective double-pass optical systems is proposed that enables effective control of the overlap of a beam that passes through the double-pass surface twice. Furthermore, we designed and analyzed various geometric folding structure double-pass optical systems that include three-mirror reflections to explore their optimization potential and volume control capabilities. Subsequently, the effect of the double-pass structure on the optical system's performance is investigated using the system volume as an indicator. The results obtained show that when a system inherently requires a longer total optical length to enable better aberration correction, a double-pass structure may reduce the system volume. Finally, we discuss the impact of the double-pass configuration on the optical system's position sensitivity and surface shape sensitivity.

4-K-resolution minimalist optical system design based on deep learning

In order to simplify optical systems, we propose a high-resolution minimalist optical design method based on deep learning. Unlike most imaging system design work, we combine optical design more closely with image processing algorithms. For optical design, we separately study the impact of different aberrations on computational imaging and then innovatively propose an aberration metric and a spatially micro-variant design method that better meet the needs of image recognition. For image processing, we construct a dataset based on the point spread function (PSF) imaging simulation method. In addition, we use a non-blind deblurring computational imaging method to repair spatially variant aberrations. Finally, we achieve clear imaging at 4 K (5184×3888) using only two spherical lenses and achieve image quality similar to that of complex lenses on the market.

Design of compact off-axis freeform imaging systems based on optical-digital joint optimization

Using a freeform optical surface can effectively reduce the imaging system weight and volume while maintaining good performance and advanced system specifications. But it is still very difficult for traditional freeform surface design when ultra-small system volume or ultra-few elements are required. Considering the images generated by the system can be recovered by digital image processing, in this paper, we proposed a design method of compact and simplified off-axis freeform imaging systems using optical-digital joint design process, which fully integrates the design of a geometric freeform system and the image recovery neural network. This design method works for off-axis nonsymmetric system structure and multiple freeform surfaces with complicated surface expression. The overall design framework, ray tracing, image simulation and recovery, and loss function establishment are demonstrated. We use two design examples to show the feasibility and effect of the framework. One is a freeform three-mirror system with a much smaller volume than a traditional freeform three-mirror reference design. The other is a freeform two-mirror system whose element number is reduced compared with the three-mirror system. Ultra-compact and/or simplified freeform system structure as well as good output recovered images can be realized.

Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring

Sustainably using resources, while reducing the use of chemicals, is of major importance in agriculture, including turfgrass monitoring. Today, crop monitoring often uses camera-based drone sensing, offering an accurate evaluation but typically requiring a technical operator. To enable autonomous and continuous monitoring, we propose a novel five-channel multispectral camera design suitable for integrating it inside lighting fixtures and enabling the sensing of a multitude of vegetation indices by covering visible, near-infrared and thermal wavelength bands. To limit the number of cameras, and in contrast to the drone-sensing systems that show a small field of view, a novel wide-field-of-view imaging design is proposed, featuring a field of view exceeding 164°. This paper presents the development of the five-channel wide-field-of-view imaging design, starting from the optimization of the design parameters and moving toward a demonstrator setup and optical characterization. All imaging channels show an excellent image quality, indicated by an MTF exceeding 0.5 at a spatial frequency of 72 lp/mm for the visible and near-infrared imaging designs and 27 lp/mm for the thermal channel. Consequently, we believe our novel five-channel imaging design paves the way toward autonomous crop monitoring while optimizing resource usage.