Object support reconstruction from the support of its autocorrelation using multiresolution genetic algorithms

Voicu, Letitia; Rabadi, Wissam A.; Myler, Harley R.

doi:10.1117/1.601510

Cited by 6 publications

(2 citation statements)

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“…There are many kinds of optimization algorithms applied to the design of the DOEs, such as the Gerchberg-Saxton (GS) algorithm [1,2] and its modified versions [3][4][5][6][7][8], the Yang-Gu algorithm [9,10], the simulated annealing algorithm [11,12], and the genetic algorithm [13]. The sampling interval Δ on the output plane is always chosen as Δ λf ∕D, here λ is the incident laser wavelength, f is the focal length of the Fourier transform lens, and D is the size of the DOE, and generally speaking, the size of the incident beam is larger than that of the DOE.…”

Section: Introductionmentioning

confidence: 99%

Precise design of two-dimensional diffractive optical elements for beam shaping

Tan

et al. 2015

Appl. Opt.

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Diffractive optical elements (DOEs) for beam shaping are widely used in many fields, and there are many kinds of optimization algorithms to design the DOEs for beam shaping. However, only the intensity distribution of the selected sampling points is controlled by these optimization algorithms. The intensity distribution of other points on the output plane is always far away from the ideal distribution. The reason is that the sampling interval on the output plane is not small enough. In this paper, a new modified GS algorithm is presented with a small enough sampling interval on the output plane. A two-dimensional DOE for beam shaping is designed, and the simulation results and the experimental results demonstrate the good performance of this algorithm.

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Section: Introductionmentioning

confidence: 99%

Precise design of two-dimensional diffractive optical elements for beam shaping

Tan

et al. 2015

Appl. Opt.

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“…However, DOEs exhibit better compactness. The main algorithms applied to the design of a DOE can be categorized into the iterative Fourier transform algorithm (IFTA) [6,7] and the global optimization algorithm [8,9]. However, the surface relief of the designed DOE is continuous, which is difficult to realize with high accuracy.…”

Section: Introductionmentioning

confidence: 99%

Beam Shaping and Speckle Reduction in Laser Projection Display Systems Using a Vibrating Diffractive Optical Element

Liang

Zhang

et al. 2017

Current Optics and Photonics

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The laser has been regarded as the potential illumination source for the next generation of projectors. However, currently the major issues in applying the laser as an illumination source for projectors are beam shaping and laser speckle. We present a compact solution for both issues by using a vibrating diffractive optical element (DOE). The DOE is designed and fabricated, and it successfully transforms the circular Gaussian laser beam to a low speckle contrast uniform rectangular pattern. Under a vibration frequency of 150 Hz and amplitude of 200 µm, the speckle contrast value is reduced from 67.67% to 13.78%, and the ANSI uniformity is improved from 24.36% to 85.54%. The experimental results demonstrate the feasibility and potential of the proposed scheme, and the proposed method is a feasible approach to the miniaturization of laser projection display illumination systems.

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Adaptive multiresolution search: How to beat brute force?

Thuillard¹

2004

International Journal of Approximate Reasoning

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Object support reconstruction from the support of its autocorrelation using multiresolution genetic algorithms

Cited by 6 publications

References 0 publications

Precise design of two-dimensional diffractive optical elements for beam shaping

Precise design of two-dimensional diffractive optical elements for beam shaping

Beam Shaping and Speckle Reduction in Laser Projection Display Systems Using a Vibrating Diffractive Optical Element

Adaptive multiresolution search: How to beat brute force?

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