Phase transfer function based method to alleviate image artifacts in wavefront coding imaging system

2013 ◽  
Author(s):  
Xutao Mo ◽  
Jinjiang Wang
Keyword(s):  
Transfer Function ◽  
Phase Transfer ◽  
Imaging System ◽  
Image Artifacts ◽  
Wavefront Coding

Optimization of wavefront coding imaging system based on the phase transfer function

Optik ◽  
2016 ◽  
Vol 127 (3) ◽  
pp. 1148-1152 ◽  
Author(s):  
Vannhu Le ◽  
Zhigang Fan ◽  
Shouqian Chen ◽  
Dung Duong Quoc
Keyword(s):  
Transfer Function ◽  
Phase Transfer ◽  
Imaging System ◽  
Wavefront Coding

Alleviating image artifacts in wavefront coding extended depth of field imaging system

2019 ◽  
Vol 436 ◽  
pp. 232-238
Author(s):  
Xutao Mo ◽  
Tao Zhang ◽  
Bin Wang ◽  
Xianshan Huang ◽  
Cuifang Kuang ◽  
...  
Keyword(s):  
Imaging System ◽  
Depth Of Field ◽  
Image Artifacts ◽  
Wavefront Coding ◽  
Extended Depth Of Field ◽  
Field Imaging

PARAMETRIC BLIND-DECONVOLUTION METHOD TO REMOVE IMAGE ARTIFACTS IN WAVEFRONT CODING IMAGING SYSTEMS

2021 ◽  
pp. 62-68
Author(s):  
Nhu
Keyword(s):  
Blind Deconvolution ◽  
Imaging System ◽  
Digital Processing ◽  
Phase Mask ◽  
Depth Of Field ◽  
Image Artifacts ◽  
Deconvolution Method ◽  
Wavefront Coding ◽  
High Quality Image ◽  
Processing Step

Wavefront coding technique includes a phase mask of asymmetric phase mask kind in the pupil plane to extend the depth of field of an imaging system and the digital processing step to obtain the restored final high-quality image. However, the main drawback of wavefront coding technique is image artifacts on the restored final images. In this paper, we proposed a parameter blind-deconvolution method based on maximizing of the variance of the histogram of restored final images that enables to obtain the restored final image with artifact-free over a large range of defocus.

scholarly journals Optical Aberration Calibration and Correction of Photographic System Based on Wavefront Coding

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4011
Author(s):  
Chuanwei Yao ◽  
Yibing Shen
Keyword(s):  
Imaging System ◽  
Optical Design ◽  
Computational Imaging ◽  
Large Field ◽  
Wavefront Aberration ◽  
Imaging Method ◽  
Image Deconvolution ◽  
Pupil Function ◽  
Wavefront Coding ◽  
Blurred Images

The image deconvolution technique can recover potential sharp images from blurred images affected by aberrations. Obtaining the point spread function (PSF) of the imaging system accurately is a prerequisite for robust deconvolution. In this paper, a computational imaging method based on wavefront coding is proposed to reconstruct the wavefront aberration of a photographic system. Firstly, a group of images affected by local aberration is obtained by applying wavefront coding on the optical system’s spectral plane. Then, the PSF is recovered accurately by pupil function synthesis, and finally, the aberration-affected images are recovered by image deconvolution. After aberration correction, the image’s coefficient of variation and mean relative deviation are improved by 60% and 30%, respectively, and the image can reach the limit of resolution of the sensor, as proved by the resolution test board. Meanwhile, the method’s robust anti-noise capability is confirmed through simulation experiments. Through the conversion of the complexity of optical design to a post-processing algorithm, this method offers an economical and efficient strategy for obtaining high-resolution and high-quality images using a simple large-field lens.

Applications of the phase transfer function of digital incoherent imaging systems

2012 ◽  
Vol 51 (4) ◽  
pp. A17 ◽  
Author(s):  
Vikrant R. Bhakta ◽  
Manjunath Somayaji ◽  
Marc P. Christensen
Keyword(s):  
Transfer Function ◽  
Phase Transfer ◽  
Imaging Systems ◽  
Incoherent Imaging
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