Fontbonne Alice, Sauer Hervé, Goudail François
Opt Express. 2022 Apr 11;30(8):13556-13571. doi: 10.1364/OE.455669.
We compare three different methods to co-optimize hybrid optical/digital imaging systems with a commercial lens design software: conventional optimization based on spot diagram minimization, optimization of a surrogate criterion based on a priori equalization of modulation transfer functions (MTFs), and minimization of the mean square error (MSE) between the ideal sharp image and the image restored by a unique deconvolution filter. To implement the latter method, we integrate - for the first time to our knowledge - MSE optimization to the software Synopsys CodeV. Taking as an application example the design of a Cooke triplet having good image quality everywhere in the field of view (FoV), we show that it is possible, by leveraging deconvolution during the optimization process, to adapt the spatial distribution of imaging performance to a prescribed goal. We also demonstrate the superiority of MSE co-optimization over the other methods, both in terms of quantitative and visual image quality.
我们使用一款商业镜头设计软件，比较了三种不同的方法来共同优化混合光学/数字成像系统：基于光斑图最小化的传统优化方法、基于调制传递函数（MTF）先验均衡的替代准则优化方法，以及理想清晰图像与通过唯一反卷积滤波器恢复的图像之间的均方误差（MSE）最小化方法。为了实现后一种方法，据我们所知，我们首次将MSE优化集成到软件Synopsys CodeV中。以设计一款在整个视场（FoV）内都具有良好图像质量的库克三片式镜头作为应用示例，我们表明，通过在优化过程中利用反卷积，可以使成像性能的空间分布适应规定目标。我们还在定量和视觉图像质量方面证明了MSE共同优化相对于其他方法的优越性。
