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Showing 1 to 8 of 8 for “"Gerchberg-Saxton"”.
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Improving Image Quality in Holographic Projections through Novel Iterative Algorithmic Solutions
… to this problem and analysed extensively against Gerchberg-Saxton, a common algorithmic benchmark used in holographic projections. The results, in terms of image quality, are positive since in all cases these algorithms converge to a suitably low minima and display the intended replay field, …
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Coherent X -Ray Diffraction
… presented in Chapter 3. Chapter 4 describes the Gerchberg-Saxton and the hybrid input-output (HIO) algorithms for phase retrieval and shows the results of image reconstruction tests with simulated Cu 3Au CXD, including the effect of oversampling in reciprocal space.
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Reconstruction Of A Univariate Discrete Function From The Magnitude Of Its Fourier Transform
… We make use of Fienup's analysis and adapt the Gerchberg-Saxton algorithm to our problem. We devise ways to eliminate indeterminacy and we suggest ways to improve the rate of convergence of this algorithm.
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Double Alternating Minimization (DAM) for Phase Retrieval in the Presence of Poisson Noise and Pixelation
… camera. However, current algorithms such as the Gerchberg-Saxton algorithm and Fienup-style algorithm do not consider the detector sampling rate and shot noise introduced by photon detection. If the sampling rate is low, we must interpolate the detected image in order to accurately reconstruct …
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The Design and Optimisation of Quasioptical Telescopes
… in general. The standard methods of the Gerchberg-Saxton Algorithm, and unidirectional optimisation using Differential Evolution and Simulated Annealing are applied to design DOEs. A novel approach using Gaussian Beam Mode Analysis is described. Here, the Gaussian Beam mode coefficients …
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Advanced Computational Holography for Perceptual Enhancement and Application in HUDs
… a non-linear merit function into the classical Gerchberg–Saxton (GS) framework, where energy redistribution is coupled with exponent-based intensity weighting and a dynamic range shift that selectively suppresses noise in perceptually sensitive areas. As a result, the method achieves superior …
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Inverse techniques: problems in optics and gas sensing
… used to solve the gas location problem and the Gerchberg-Saxton algorithm to calculate phase patterns with applications in optical tweezers. Within an optical tweezers system the highest trap resolution (the smallest distance between neighboring traps) that can be achieved is conventionally …
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The Adaptive Optics Lucky Imager: combining adaptive optics and lucky imaging
One of the highest resolution astronomical images ever taken in the visible were obtained by combining the techniques of adaptive optics and lucky imaging. The Adaptive Optics Lucky Imager (AOLI), being developed at Cambridge as part of a European collaboration, combines these two techniques in a …