Discrete Representation of Holograms of Halftone Objects

Filippov, I. Yu.; Kovalev, M. S.; Krasin, George; Одиноков, С. Б.; Ruchka, Pavel; Stsepuro, Nikita

doi:10.3103/s1060992x18010022

Cited by 7 publications

(1 citation statement)

References 4 publications

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“…Based on the simulation results shown in Figures 5-12, through CWT based on Haar, Daubechies, Meyer, and Coiflet wavelets with level 2, the DRH image could be successfully reconstructed with advantages such as denoising in order to minimize the speckle noise and compress the image, while considering minimum blur and modulation of R, G, and B spectral component. The use of CWT to reconstruct or develop digital holograms has many advantages compared to using Fourier transform in the case of FFT [16][17][18]. The main weakness of FFT lies on the basis of signal operation to modulate or composing in scaling and shifting that is referred as windowed Fourier transform (WFT).…”

Section: Resultsmentioning

confidence: 99%

Wavelet Transform on Digital Rainbow Hologram based on Spectral Compression for Quality Enhancement in 3D Display Media

Darusalam¹,

Pamungkasari²

2019

MST

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A digital rainbow hologram (DRH) is a potential next-generation three-dimensional display media for the development of modern and smart electronics devices. It is one of the methods that can support the characteristic whereby a realistic display media occupies the space that the real object would have occupied. Since a rainbow hologram records a large amount of spatial or temporal frequency component from the object that represents the rainbow spectrum, a large amount of information needs to be decoded digitally. In this paper, to reconstruct a DRH, we propose a novel method based on the modulation of red, green, and blue spectral components of light by wavelet transform (WT) in the recording and reconstruction processes, which we digitally simulated in a computer using an algorithm. In the simulations, continuous WT (CWT) was based on Haar, Daubechies, Meyer, and Coiflet wavelets with a level set to be two. Based on the results of simulations using CWT, the optimum distance between object and hologram was 30 cm, and the maximum compression was 88.55%, which was achieved with Meyer wavelet. Moreover, optimal de-noising and optimal localization of spatial frequency component based on red, green, and blue spectral components were also achieved using the proposed method.

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Section: Resultsmentioning

confidence: 99%