Digital color holographic recording and reconstruction using synthetic aperture and multiple reference waves

Jiang, Hongzhen; Zhao, Jianlin; Di, Jianglei

doi:10.1016/j.optcom.2012.02.076

Cited by 15 publications

(4 citation statements)

References 13 publications

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“…The noise variations between the recordings can also be produced by inducing small changes into any of the multiple parameters that control coherent noise formation [16], at the expense of adding complexity to the setup and alignment of the system. For instance, this can be achieved by slightly changing the angle of the illumination [128,129], recording device [30,130], or even the imaged object [131,132]; it can also be done by using different wavelengths [133,134] or polarizations [31,135] in the illumination, or by introducing moving transmission masks in its path [136][137][138]. In all these cases, after the 𝑁 "looks" have been recorded, their reconstructions must be averaged; this is straightforwardly done as [106]…”

Section: Optical Denoising Methodsmentioning

confidence: 99%

Speckle Reduction in Digital Holographic Microscopy by Physical Manipulation of the Pupil Function

Buitrago-Duque

Garcı́a-Sucerquia

2020

Imaging and Applied Optics Congress

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ResumenLa Microscopía Holográfica Digital (DHM) es una técnica que ha permitido la medición cuantitativa de las diferencias de fase que los objetos microscópicos introducen en una iluminación coherente. Esta técnica, sin embargo, sufre de la presencia de ruido coherente; este infortunado efecto de la iluminación coherente tiene efectos perjudiciales sobre el poder de resolución y la precisión de las mediciones realizadas, obstaculizando la amplia adopción de tecnologías basadas en DHM. Por lo tanto, el desarrollo de DHM y su efectiva implementación en aplicaciones de imágenes cuantitativas de fase está altamente relacionado con el desarrollo de métodos de reducción de ruido robustos que puedan compensar adecuadamente esta limitación.En la presente tesis de maestría, se proponen e implementan estrategias de reducción de ruido que puedan ser aplicadas a mapas de fase cuantitativos obtenidos numéricamente en microscopía holográfica digital. Para lograrlo, se realizó una revisión del estado del arte de las técnicas existentes para reducción de ruido en mapas de fase, identificando que, si bien existen extensas fuentes literarias que abordar el problema de ruido en holografía digital, la mayoría están orientadas hacia información de intensidad; además, las pocas que están optimizadas para reducción de ruido en fase han sido principalmente empleadas en objetos macroscópicos, por lo que no han sido consideradas las condiciones experimentales específicas de DHM. Bajo esta idea, nuevas técnicas de reducción de ruido que se adaptan a las condiciones experimentales específicas de DHM son propuestas, su factibilidad es estudiada en modelaciones numéricas y resultados experimentales, y sus límites de aplicación establecidos con métricas previamente reportadas en la literatura especializada.Los resultados fueron consolidados en 9 manuscritos sometidos a revistas indexadas de circulación internacional, 7 de estos ya publicados, y 6 presentaciones en eventos internacionales. Estos productos constituyen el núcleo de la presente tesis.

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Section: Optical Denoising Methodsmentioning

confidence: 99%

Speckle Reduction in Digital Holographic Microscopy by Physical Manipulation of the Pupil Function

Buitrago-Duque

Garcı́a-Sucerquia

2020

Imaging and Applied Optics Congress

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“…Speckle: Speckle has a statistical distribution in size and intensity and it is associated with highly coherent light sources, both spatially and temporally. Consequently, speckle removal techniques essentially involve applying lowpass filters (e.g., median) with image enhancement or using multiple references waves to superpose various speckle field distributions [10]. Again, we must pay a cost (in terms of computing time) to remove this effect.…”

Section: Future Work: Inherent Issues Of Computer Holographymentioning

confidence: 99%

SLM Simulation and MonteCarlo Path Tracing for Computer-Generated Holograms

2021

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Computer holography is a growing research field that must pay attention to two main issues concerning computing effort: the visualization of a 3D virtual scene with photo-realistic quality and the bottleneck related to hologram digitizalition and visualization limits. This work shows a computational approach based on a Monte Carlo path-tracing algorithm, which accounts for both geometrical and physical phenomena involved in hologram generation, and, therefore, makes a feasible estimation of computing time costs. As these holograms also require yet unavailable visualization devices, their behavior needs to be simulated by computer techniques.

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“…Multiple wavelengths were exploited in ref. 42 . An effective multi-channel method for providing noise diversity in the optical set-up is to record holograms by changing the linear polarization of the object beam while using a circularly polarized reference wavefront 72 , 73 .…”

Section: Optical Solutions For Noise Reductionmentioning

confidence: 99%

Strategies for reducing speckle noise in digital holography

Bianco¹,

Memmolo²,

Leo³

et al. 2018

Light Sci Appl

225

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Digital holography (DH) has emerged as one of the most effective coherent imaging technologies. The technological developments of digital sensors and optical elements have made DH the primary approach in several research fields, from quantitative phase imaging to optical metrology and 3D display technologies, to name a few. Like many other digital imaging techniques, DH must cope with the issue of speckle artifacts, due to the coherent nature of the required light sources. Despite the complexity of the recently proposed de-speckling methods, many have not yet attained the required level of effectiveness. That is, a universal denoising strategy for completely suppressing holographic noise has not yet been established. Thus the removal of speckle noise from holographic images represents a bottleneck for the entire optics and photonics scientific community. This review article provides a broad discussion about the noise issue in DH, with the aim of covering the best-performing noise reduction approaches that have been proposed so far. Quantitative comparisons among these approaches will be presented.

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Digital color holographic recording and reconstruction using synthetic aperture and multiple reference waves

Cited by 15 publications

References 13 publications

Speckle Reduction in Digital Holographic Microscopy by Physical Manipulation of the Pupil Function

Speckle Reduction in Digital Holographic Microscopy by Physical Manipulation of the Pupil Function

SLM Simulation and MonteCarlo Path Tracing for Computer-Generated Holograms

Strategies for reducing speckle noise in digital holography

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