High-resolution digital holography utilized by the subpixel sampling method

Claus, Daniel; Fritzsche, Marco; Iliescu, Daciana; Timmerman, Brenda H.; Bryanston-Cross, Peter John

doi:10.1364/ao.50.004711

Cited by 11 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Combined with the above analysis, we can achieve the goal of acceleration by reducing the number of multiplication and addition of complex matrix (cumulative multiplication) needed to locate the peak value in the upsampling cross-correlation window. In addition, according to the derivation of literature [14], the correlation function can be written as the product of three matrices, namely:…”

Section: Brain Image Fine-searchmentioning

confidence: 99%

“…In order to solve the problem of mismatch (inappropriate problem) between registration accuracy and computational complexity, Claus et al proposed an novel and effective image registration algorithm, which has the same registration accuracy as the standard fast Fourier transform and is considered to be one of the most reliable algorithms in the image registration algorithm based on the phase correlation method. For ease of description, the registration algorithm is called as SSDFT for the image registration algorithm based on the single-step discrete Fourier transform [14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Fast Subpixel Registration Algorithm Based on Single-Step DFT Combined with Phase Correlation Constraint in Multimodality Brain Image

2020

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

Multimodality brain image registration technology is the key technology to determine the accuracy and speed of brain diagnosis and treatment. In order to achieve high-precision image registration, a fast subpixel registration algorithm based on single-step DFT combined with phase correlation constraint in multimodality brain image was proposed in this paper. Firstly, the coarse positioning at the pixel level was achieved by using the downsampling cross-correlation model, which reduced the Fourier transform dimension of the cross-correlation matrix and the multiplication of the discrete Fourier transform matrix, so as to speed up the coarse registration process. Then, the improved DFT multiplier of the matrix multiplication was used in the neighborhood of the coarse point, and the subpixel fast location was achieved by the bidirectional search strategy. Qualitative and quantitative simulation experiment results show that, compared with comparison registration algorithms, our proposed algorithm could greatly reduce space and time complexity without losing accuracy.

show abstract

Section: Brain Image Fine-searchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Fast Subpixel Registration Algorithm Based on Single-Step DFT Combined with Phase Correlation Constraint in Multimodality Brain Image

2020

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

show abstract

“…Those figures mean that in order to reduce the speckle size, for a given wavelength (λ) and a particular reconstruction distance (z), the size of the digital camera must be increased; this enlarging of the digital camera can be achieved by means of a synthetic aperture. Different techniques that use synthetic apertures to mimic larger digital screens are based on accurate positioning systems [46]- [50]. Other methods lessen the effects of the speckle by decreasing its contrast through the addition of multiple images of the same scene [17], [18], [22]- [25].…”

Section: Practical Electronic Recording and Numerical Reconstrucmentioning

confidence: 99%

Accelerated Numerical Processing of Electronically Recorded Holograms With Reduced Speckle Noise

Trujillo

Garcı́a-Sucerquia²

2013

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

The numerical reconstruction of digitally recorded holograms suffers from speckle noise. An accelerated method that uses general-purpose computing in graphics processing units to reduce that noise is shown. The proposed methodology utilizes parallelized algorithms to record, reconstruct, and superimpose multiple uncorrelated holograms of a static scene. For the best tradeoff between reduction of the speckle noise and processing time, the method records, reconstructs, and superimposes six holograms of 1024 × 1024 pixels in 68 ms; for this case, the methodology reduces the speckle noise by 58% compared with that exhibited by a single hologram. The fully parallelized method running on a commodity graphics processing unit is one order of magnitude faster than the same technique implemented on a regular CPU using its multithreading capabilities. Experimental results are shown to validate the proposal.

show abstract

“…Claus et al. utilized the subpixel sampling method to improve the optical resolution for image quality and phase measurement accuracy [17] .Verrier and Fournier improved the reconstruction process of the recorded holograms, where they predict the characteristic parameters and position of the objects, by utilizing the information redundancy of videos [18] . Furthermore, Funamizu et al.…”

Section: Introductionmentioning

confidence: 99%

Genetic algorithm based image reconstruction applying the digital holography process with the Discrete Orthonormal Stockwell Transform technique for diagnosis of COVID-19

Kaya

Onur

2022

Computers in Biology and Medicine

View full text Add to dashboard Cite

High-resolution digital holography utilized by the subpixel sampling method

Cited by 11 publications

References 11 publications

A Fast Subpixel Registration Algorithm Based on Single-Step DFT Combined with Phase Correlation Constraint in Multimodality Brain Image

A Fast Subpixel Registration Algorithm Based on Single-Step DFT Combined with Phase Correlation Constraint in Multimodality Brain Image

Accelerated Numerical Processing of Electronically Recorded Holograms With Reduced Speckle Noise

Genetic algorithm based image reconstruction applying the digital holography process with the Discrete Orthonormal Stockwell Transform technique for diagnosis of COVID-19

Contact Info

Product

Resources

About