Handbook of Holographic Interferometry

Kreis, Thomas

doi:10.1002/3527604154

Cited by 491 publications

(644 citation statements)

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“…Table 4 gives details of the sampling intervals in and around the reconstruction plane used in all three directions for both reconstruction methods (direct and spectral method). We note here again that the sampling interval in the z direction is calculated using the concept of depth of focus given by Kreis [5]. In Sect.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, the sampling intervals differ depending on the choice of reconstruction method. Table 1 gives the equations used to calculate sampling intervals in the x, y and z directions [5]. As can be seen from the table, the sampling interval in x and y (T x and T y ) is proportional to the reconstruction distance when using the direct method and is the same size as the sensor pixels when using the spectral method.…”

Section: Numerical Computation Of the 3d Intensity Fieldmentioning

confidence: 99%

“…As can be seen from the table, the sampling interval in x and y (T x and T y ) is proportional to the reconstruction distance when using the direct method and is the same size as the sensor pixels when using the spectral method. In order to decide which sampling interval we should choose along the z direction, we use the concept of depth of focus given by Kreis [5]. Kreis calculates the depth of focus to be related to the rate of change along the z direction and therefore the correct sampling interval in the Nyquist sense.…”

Section: Numerical Computation Of the 3d Intensity Fieldmentioning

confidence: 99%

“…It degrades the quality of the resulting images and makes it difficult or impossible to resolve fine detail. All coherent imaging systems suffer from speckle and when we consider viewing reconstructions of DHs this speckle is an unwanted noise [5]. The presence of speckle hinders the application of image processing techniques to digital holographic data.…”

Section: Introductionmentioning

confidence: 99%

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Speckle reduction of reconstructions of digital holograms using three dimensional filtering

Maycock

McDonald

Hennelly

2013

Optics Communications

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We report on a new digital signal processing technique that reduces speckle in reconstructions of digital holograms. This is achieved by convolving the three dimensional intensity pattern (the intensity of the propagated DH at a series of different distances) with a 3D point spread function in all three dimensions (x,y,z ). It is based on the fact that the addition of different independent speckle images on an intensity basis reduces the speckle content. We provide quantitative results in terms of speckle index and resolution, and show that filtering in the z direction has the added benefit of an increase the depth of focus of the digital hologram reconstruction.

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Section: Resultsmentioning

confidence: 99%

Section: Numerical Computation Of the 3d Intensity Fieldmentioning

confidence: 99%

Section: Numerical Computation Of the 3d Intensity Fieldmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Speckle reduction of reconstructions of digital holograms using three dimensional filtering

Maycock

McDonald

Hennelly

2013

Optics Communications

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“…Digital simulation of diffraction is crucial in many applications, and there are various different numerical approaches with different properties [2,6,20]. A comparison of different numerical implementations of the diffraction integral in the context of holography is given in [12,13].…”

Section: Review Of Diffraction From a Systems Point Of Viewmentioning

confidence: 99%

Signal processing issues in diffraction and holographic 3DTV

Onural

Özaktaş

2007

Signal Processing: Image Communication

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Image capture and image display will most likely be decoupled in future 3DTV systems. Due to the need to convert abstract representations of 3D images to display driver signals, and to explicitly consider optical diffraction and propagation effects, it is expected that signal processing issues will be of fundamental importance in 3DTV systems. Since diffraction between two parallel planes can be represented as a 2D linear shift-invariant system, various signal processing techniques naturally play an important role. Diffraction between tilted planes can also be modeled as a relatively simple system, leading to efficient discrete computations. Two fundamental problems are digital computation of the optical field arising from a 3D object, and finding the driver signals for a given optical display device which will then generate a desired optical field in space. The discretization of optical signals leads to several interesting issues; for example, it is possible to violate the Nyquist rate while sampling, but still achieve full reconstruction. The fractional Fourier transform is another signal processing tool which finds applications in optical wave propagation. r

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Optical Methods

Nelson

2013

Practical Residual Stress Measurement Methods

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Handbook of Holographic Interferometry

Cited by 491 publications

References 0 publications

Speckle reduction of reconstructions of digital holograms using three dimensional filtering

Speckle reduction of reconstructions of digital holograms using three dimensional filtering

Signal processing issues in diffraction and holographic 3DTV

Optical Methods

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