2020
DOI: 10.1109/jphot.2019.2960300
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Freeform Surface Graded Optimization of Deformable Mirrors in Integrated Zoom and Image Stabilization System Through Vectorial Ray Tracing and Image Point Freezing Method

Abstract: Integrated zoom and image stabilization system based on deformable mirrors (DMs) has advantages of miniaturization, rapid response and low energy consumption. Integrating the two capabilities on one DM-based imaging system poses considerable challenges. First, limited DM stroke will result in limited changeable aberration correction value for zoom and image stabilization. Second, the DM-based off-axis imaging system suffers a simple relative movement between optical axis and objects caused by carrier vibration… Show more

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Cited by 3 publications
(3 citation statements)
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“…smooth constraint term used to suppress noise and ringing effect, f ˆis the approximate solution of the object, g is the image received by the detector, γ is the weights of smooth constraints, C is the Laplacian Operator, and p corresponds to different norm types. Finally, we use the ADMM (alternating direction method of multipliers) method to obtain the optimal solution f ˆof (11) and complete the image restoration.…”
Section: Spatial Variation Deconvolution Algorithmmentioning
confidence: 99%
See 2 more Smart Citations
“…smooth constraint term used to suppress noise and ringing effect, f ˆis the approximate solution of the object, g is the image received by the detector, γ is the weights of smooth constraints, C is the Laplacian Operator, and p corresponds to different norm types. Finally, we use the ADMM (alternating direction method of multipliers) method to obtain the optimal solution f ˆof (11) and complete the image restoration.…”
Section: Spatial Variation Deconvolution Algorithmmentioning
confidence: 99%
“…( 3) and ( 4) are combined to calculate the wavefront aberration and construct the generalized pupil function, and the Fourier transform is used to obtain the PSF model. Finally, the theory proposed by Filip Sroubek [30] and others is used to decompose the PSF model established in the previous step by a singular value to obtain the base filter matrix B and the coefficient matrix M. Combined with the blurred image g received by the detector, it is possible to establish (11). The flow chart of the method is shown in Fig.…”
Section: Spatial Variation Deconvolution Algorithmmentioning
confidence: 99%
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