Successive optimization of optics and post-processing with differentiable coherent PSF operator and field information
Journal:
arXiv
Published Date:
Dec 19, 2024
Abstract
Recently, the joint design of optical systems and downstream algorithms is
showing significant potential. However, existing rays-described methods are
limited to optimizing geometric degradation, making it difficult to fully
represent the optical characteristics of complex, miniaturized lenses
constrained by wavefront aberration or diffraction effects. In this work, we
introduce a precise optical simulation model, and every operation in pipeline
is differentiable. This model employs a novel initial value strategy to enhance
the reliability of intersection calculation on high aspherics. Moreover, it
utilizes a differential operator to reduce memory consumption during coherent
point spread function calculations. To efficiently address various degradation,
we design a joint optimization procedure that leverages field information.
Guided by a general restoration network, the proposed method not only enhances
the image quality, but also successively improves the optical performance
across multiple lenses that are already in professional level. This joint
optimization pipeline offers innovative insights into the practical design of
sophisticated optical systems and post-processing algorithms. The source code
will be made publicly available at
https://github.com/Zrr-ZJU/Successive-optimization
