计算机科学
图像质量
盲反褶积
反褶积
镜头(地质)
光传递函数
图像处理
软件
先验与后验
光学
缩小
图像复原
数字图像处理
人工智能
算法
图像(数学)
程序设计语言
哲学
物理
认识论
作者
Alice Fontbonne,Hervé Sauer,François Goudail
出处
期刊:Optics Express
[The Optical Society]
日期:2022-04-06
卷期号:30 (8): 13556-13556
被引量:8
摘要
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.
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