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

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.

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

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

Visual cortex neurons in monkey and cat: Effect of contrast on the spatial and temporal phase transfer functions

1995 ◽  
Vol 12 (6) ◽  
pp. 1191-1210 ◽  
Author(s):  
Duane G. Albrecht
Keyword(s):  
Visual Cortex ◽  
Transfer Function ◽  
Receptive Field ◽  
Transfer Functions ◽  
Phase Transfer ◽  
Sine Wave ◽  
Phase Advance ◽  
Systematic Effect ◽  
Temporal Phase ◽  
Visual Cortex Neurons

AbstractThe responses of simple cells (recorded from within the striate visual cortex) were measured as a function of the contrast and the frequency of sine-wave grating patterns in order to explore the effect of contrast on the spatial and temporal phase transfer functions and on the spatiotemporal receptive field. In general, as the contrast increased, the phase of the response advanced by approximately 45 ms (approximately one-quarter of a cycle for frequencies near 5 Hz), although the exact value varied from cell to cell. The dynamics of this phase-advance were similar to the dynamics of the amplitude: the amplitude and the phase increased in an accelerating fashion at lower contrasts and then saturated at higher contrasts. Further, the gain for both the amplitude and the phase appeared to be governed by the magnitude of the contrast rather than the magnitude of the response. For the spatial phase transfer function, variations in contrast had little or no systematic effect; all of the phase responses clustered around a single straight line, with a common slope and intercept. This implies that the phase-advance was not due to a change in the spatial properties of the neuron; it also implies that the phase-advance was not systematically related to the magnitude of the response amplitude. On the other hand, for the temporal phase transfer function, the phase responses fell on five straight lines, related to the five steps in contrast. As the contrast increased, the phase responses advanced such that both the slope and the intercept were affected. This implies that the phase-advance was a result of contrast-induced changes in both the response latency and the shape/symmetry of the temporal receptive field.

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