Methods of compression of digital holograms, based on 1-level wavelet transform

Курбатова, Е. А.; Cheremkhin, Pavel A.; Evtikhiev, Nikolay N.

doi:10.1088/1742-6596/737/1/012071

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…For lossless compression, codecs such as Lempel-Ziv-Welch (LZW), Huffman, and Burrows-Wheeler have been implemented, achieving very low compression ratios (CRs) [13]. Nevertheless, to achieve high CRs, lossy compression must be used, like quantization [14,15], discrete cosine transform [16][17][18], and discrete wavelet transform [19][20][21]. These traditional image codecs are not suited for holographic information, because the characteristics of holographic data are quite different from natural images [22].…”

Section: Introductionmentioning

confidence: 99%

Quality guided alternative holographic data representation for high performance lossy compression

Gómez-Valencia

Trejos

Velez-Zea

et al. 2021

J. Opt.

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We analyze several representations for holographic data and determine the effectiveness of a common lossy compression algorithm for each representation. We demonstrate that a phase–amplitude representation, when used to represent holograms of diffuse objects, can be combined with a phase unwrapping algorithm to achieve much higher compression ratios (CRs) than direct compression of the complex valued holographic data. We compare the compression performance of the JPEG algorithm for several conventional and alternative holographic data representations. Additionally, we test two different phase unwrapping algorithms to improve phase compression performance. In particular, we propose and evaluate an alternative phase representation based on a quality guided phase unwrapping algorithm. This alternative representation offers higher performance to the other tested approaches, achieving CRs over 6 with a limited quality loss after reconstruction. We add the experimental reconstruction of the processed holograms to further validate our proposal.

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Section: Introductionmentioning

confidence: 99%

Quality guided alternative holographic data representation for high performance lossy compression

Gómez-Valencia

Trejos

Velez-Zea

et al. 2021

J. Opt.

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“…In [7], a WT method was successfully implemented for digital hologram image reconstruction to achieve high image compression through the removal of the speckle noise, and hence, the signal to noise ratio (SNR) was significantly improved. In [8], a one-level WT-based method was implemented to achieve high image compression in a digital hologram. In [9], a recorded hologram from a charge-coupled device was improved by digital reconstruction via WT to decrease the speckle noise existing in the image.…”

Section: Introductionmentioning

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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Wavelet compression of off-axis digital holograms using real/imaginary and amplitude/phase parts

Cheremkhin

Курбатова

2019

Sci Rep

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Compression of digital holograms allows one to store, transmit, and reconstruct large sets of holographic data. There are many digital image compression methods, and usually wavelets are used for this task. However, many significant specialties exist for compression of digital holograms. As a result, it is preferential to use a set of methods that includes filtering, scalar and vector quantization, wavelet processing, etc. These methods in conjunction allow one to achieve an acceptable quality of reconstructed images and significant compression ratios. In this paper, wavelet compression of amplitude/phase and real/imaginary parts of the Fourier spectrum of filtered off-axis digital holograms is compared. The combination of frequency filtering, compression of the obtained spectral components, and extra compression of the wavelet decomposition coefficients by threshold processing and quantization is analyzed. Computer-generated and experimentally recorded digital holograms are compressed. The quality of the obtained reconstructed images is estimated. The results demonstrate the possibility of compression ratios of 380 using real/imaginary parts. Amplitude/phase compression allows ratios that are a factor of 2–4 lower for obtaining similar quality of reconstructed objects.

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Methods of compression of digital holograms, based on 1-level wavelet transform

Cited by 5 publications

References 21 publications

Quality guided alternative holographic data representation for high performance lossy compression

Quality guided alternative holographic data representation for high performance lossy compression

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

Wavelet compression of off-axis digital holograms using real/imaginary and amplitude/phase parts

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