Publication:
Adaptive Iterative Method of Selecting Weight Coefficients for Digital Hologram Binarization Using Error Diffusion

Научные группы
Организационные подразделения
Организационная единица
Институт лазерных и плазменных технологий
Стратегическая цель Института ЛаПлаз – стать ведущей научной школой и ядром развития инноваций по лазерным, плазменным, радиационным и ускорительным технологиям, с уникальными образовательными программами, востребованными на российском и мировом рынке образовательных услуг.
Выпуск журнала
Аннотация
This article discusses optical methods and technologies that can register, transform, store, transmit, and reproduce large arrays of information. Digital holograms recorded using photographic equipment of various types is common carriers of experimentally recorded information. The size of digital hologram files is several tens of megabytes. Hence, for the storage and transmission of holographic data archives via communication channels, holograms should be compressed. Binarization represents one of the options for reducing the hologram size. For binarization, an iterative adaptive method for selecting the weight coefficients of the error diffusion procedure is proposed. The method has been tested on digital holograms that were optically recorded under various conditions. The quality of the measured objects was evaluated through numerical methods of image reconstruction and after displaying digital holograms on a micromirror light modulator. The proposed method can be used for compressing and storing holographic data, measuring the characteristics and shape of micro- and macroobjects, and fast optical image reconstruction using a micromirror light modulator. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.
Описание
Ключевые слова
digital camera , digital holography , error diffusion , image binarization , micromirror light modulator , optical information processing
Цитирование
Adaptive Iterative Method of Selecting Weight Coefficients for Digital Hologram Binarization Using Error Diffusion / Evtikhiev, N.N. [et al.] // Measurement Techniques. - 2022. - 10.1007/s11018-022-02101-9
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