MTF optimization in lens design

“…to use in the design process. Most of them have been already optimized and have different characteristics [2][3][4][5][6] reflecting in their price, quality and availability. One of the design problems is the proper choice of elements or modules to satisfy the given preliminary requirements for the designed system as a whole.…”

Section: Introductionmentioning

confidence: 99%

A generalized optimization method for night vision devices design considering stochastic external surveillance conditions

Borissova

Mustakerov

2009

Applied Mathematical Modelling

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a b s t r a c tThe paper describes a generalized optimization method for night vision devices (NVDs) design taking into account stochastic external surveillance conditions -ambient light illumination, atmosphere transmittance, contrast between target and background and target type. The main idea of the presented method is optimizing of the NVD design process by optimal choice of the optoelectronic channel modules -objective, image intensifier tube, ocular and electrical battery power supply while considering the influence of the external surveillance conditions uncertainty. For that goal a stochastic nonlinear mixed-integer multicriteria optimization problem is formulated and solved. The problem solution gives the optimal modules combination and some preliminary estimation about the operational characteristics of the designed NVD -working range (consistent with the uncertainty of the external surveillance conditions), weight, price and electrical batteries power supply operational duration. An illustrative numerical example based on the optimal choice from sets of objectives, image intensifier tubes, oculars and electrical batteries types is solved. The described method increases the effectiveness of the NVD design.

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“…On the other hand, the merit function for the optimization is usually constructed with aberration target functions. It may be expected that a good solution is directly achieved, if the merit function is constructed with MTF target functions [1]. But the efficient optimization of the MTF merit function is difficult because the MTF has much more non-linearity than ordinary aberrations.…”

Section: Introductionmentioning

confidence: 99%

MTF optimization by automatic adjustment of aberration merit function

Yabe¹

2002

SPIE Proceedings

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I present a fast MTF optimization method. In this MTF optimization the aberration merit function is optimized. The basic concept of this MTF optimization is to connect the improvement of the aberration merit function to the improvement of the MTF merit function. The target values and weights of aberration target functions are automatically adjusted in order that the improvement of the aberration merit function is also linked to the improvement of the MTF merit function. Through examples it is shown that the MTF optimization used with the global optimization is effective to find good solutions as to the MTF merit function.

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MTF optimization in lens design

Cited by 9 publications

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Sensitivity control to surface irregularity

Sensitivity control to surface irregularity

A generalized optimization method for night vision devices design considering stochastic external surveillance conditions

MTF optimization by automatic adjustment of aberration merit function

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