2019
DOI: 10.1038/s41598-019-44119-0
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Wavelet compression of off-axis digital holograms using real/imaginary and amplitude/phase parts

Abstract: 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… Show more

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Cited by 26 publications
(10 citation statements)
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References 76 publications
(133 reference statements)
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“…Holograms and holographic videos can have large sizes. To store and transmit them, compression should be used [24,[87][88][89][90][91]. The proposed method was analyzed for the compressed holograms.…”
Section: Optical Experiments Resultsmentioning
confidence: 99%
“…Holograms and holographic videos can have large sizes. To store and transmit them, compression should be used [24,[87][88][89][90][91]. The proposed method was analyzed for the compressed holograms.…”
Section: Optical Experiments Resultsmentioning
confidence: 99%
“…They speed-up their approach by inserting the reversible modulo operator, resulting in the right candidate for real-time hologram compression systems. Cheremkhin and Kurbatova [13] proposed a method using Meyer and reverse biorthogonal wavelets to compress off-axis digital holograms. The suggested method uses frequency filtering, wavelet decomposition, threshold processing, and quantization.…”
Section: Wavelet-based Methodsmentioning
confidence: 99%
“…In addition, the data processing step is responsible for the compression of the fused data to speed up the transmission and reconstruction, and reduce the required data transmission rate and storage in holographic communication (Kurbatova et al, 2015;Cheremkhin and Kurbatova, 2019). The compressed data for the 3D representation is then encoded and transmitted over a network.…”
Section: Basic Implementation Proceduresmentioning
confidence: 99%