Abstract
Simple optical system imaging is a method to simplify optical systems by removing aberrations using image deconvolution. The point spread function (PSF) used in deconvolution is an important factor that affects the image quality. However, it is difficult to obtain optimal PSFs. The blind estimation of PSFs relies heavily on the information in the image. Measured PSFs are often misused because real sensors are wide-band. We present an optimal PSF estimation method based on PSF measurements. Narrow-band PSF measurements at a single depth are used to calibrate the optical system; these enable the simulation of real lenses. Then, we simulate PSFs in the wavelength pass range of each color channel all over the field. The optimal PSFs are computed according to these simulated PSFs. The results indicated that the use of the optimal PSFs significantly reduces the artifacts caused by misuse of PSFs, and enhances the image quality.
Highlights
Optical aberration is an important factor in image-quality degradation
Deconvolution is the key part of this strategy, and the point spread function (PSF)
We have not compared our results with the restored image using measured PSFs because it is difficult and time consuming to measure PSFs in all fields accurately
Summary
Optical aberration is an important factor in image-quality degradation. Designers of modern optical imaging systems must use lenses of different glass material to obtain aberration corrected and balanced [1], which makes optical systems cumbersome and expensive. Spatially varying deconvolution can reduce many aberrations [2]. The use of deconvolution methods in image post-processing enables the constraints in optical system design to be relaxed, and the optical system can be simplified [3]. Deconvolution is the key part of this strategy, and the point spread function (PSF). Is an important factor that affects the deconvolution result [4,5]. Once the PSF is obtained inaccurately, the restored image is likely to have severe artifacts
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