Encoding and Reconstruction of Lensless Off-Axis Fourier Hologram Based on the Theory of Compressed Sensing

Chao, 韩超 Han; Wei, 吴伟 Wu; Mengmeng, 李蒙蒙 Li

doi:10.3788/cjl201441.0209015

Cited by 2 publications

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“…Frequency filtering techniques are often used for reducing the informative holographic data size considerably 39,40 .Currently, off-axis hologram compression is researched for problems in microscopy (images of red blood cells 14 , micro bio objects 15 , etc. ), terahertz systems 56 , 3D diffuse grayscale 57 and color 58 objects coding and imaging, computer-generated depth images representation 59 , next generation 3DTV applications 35,60 , quick volume scene displaying 61 , interferometry 15 , data multiplexing 62 , etc. Compression of off-axis digital holograms by binarization or direct quantization is used for visualization of optical scanning holographic data 63,64 , digital micromirror (DMD) applications 29,64 , fast printing and watermarking 65 , etc.There are two main aims of the paper:to compress single off-axis digital holograms using separation of the filtered spectrum into R/I parts andto perform a comparative analysis of the obtained results with those for compression by separation of the spectrum into A/P parts.Hologram compression based on a combination of a number of methods is analyzed, specifically,hologram frequency filtering,separation of the obtained spectrum into components,the wavelet transform, andadditional processing by quantization and thresholding.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, off-axis hologram compression is researched for problems in microscopy (images of red blood cells 14 , micro bio objects 15 , etc. ), terahertz systems 56 , 3D diffuse grayscale 57 and color 58 objects coding and imaging, computer-generated depth images representation 59 , next generation 3DTV applications 35,60 , quick volume scene displaying 61 , interferometry 15 , data multiplexing 62 , etc. Compression of off-axis digital holograms by binarization or direct quantization is used for visualization of optical scanning holographic data 63,64 , digital micromirror (DMD) applications 29,64 , fast printing and watermarking 65 , etc.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Cheremkhin

Курбатова

2019

Sci Rep

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Quality of reconstruction of compressed off-axis digital holograms by frequency filtering and wavelets

Cheremkhin

Курбатова

2017

Appl. Opt.

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Compression of digital holograms can significantly help with the storage of objects and data in 2D and 3D form, its transmission, and its reconstruction. Compression of standard images by methods based on wavelets allows high compression ratios (up to 20-50 times) with minimum losses of quality. In the case of digital holograms, application of wavelets directly does not allow high values of compression to be obtained. However, additional preprocessing and postprocessing can afford significant compression of holograms and the acceptable quality of reconstructed images. In this paper application of wavelet transforms for compression of off-axis digital holograms are considered. The combined technique based on zero- and twin-order elimination, wavelet compression of the amplitude and phase components of the obtained Fourier spectrum, and further additional compression of wavelet coefficients by thresholding and quantization is considered. Numerical experiments on reconstruction of images from the compressed holograms are performed. The comparative analysis of applicability of various wavelets and methods of additional compression of wavelet coefficients is performed. Optimum parameters of compression of holograms by the methods can be estimated. Sizes of holographic information were decreased up to 190 times.

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Encoding and Reconstruction of Lensless Off-Axis Fourier Hologram Based on the Theory of Compressed Sensing

Cited by 2 publications

References 0 publications

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

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

Quality of reconstruction of compressed off-axis digital holograms by frequency filtering and wavelets

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