Comparison between Hadamard and canonical bases for in-situ wavefront correction and the eect of ordering in compressive sensing Dennis Scheidt and Pedro A. Quinto Su

2025-04-29 0 0 2.2MB 8 页 10玖币
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Comparison between Hadamard and canonical bases for in-situ wavefront correction
and the effect of ordering in compressive sensing
Dennis Scheidt and Pedro A. Quinto Su
Instituto de Ciencias Nucleares, Universidad Nacional Aut´onoma de M´exico,
Apartado Postal 70-543, 04510, Cd. Mx., M´exico
(Dated: October 24, 2022)
In this work we compare the Canonical and Hadamard bases for in-situ wavefront correction
of a focused Gaussian beam using a spatial light modulator (SLM). The beam is perturbed with
a transparent optical element (sparse) or a random scatterer (both prevent focusing at a single
spot). The phase corrections are implemented with different basis sizes (N= 64,256,1024,4096)
and the phase contribution of each basis element is measured with 3 step interferometry. The
field is reconstructed from the complete 3Nmeasurements and the correction is implemented by
projecting the conjugate phase at the SLM. Our experiments show that in general, the Hadamard
basis measurements yield better corrections because every element spans the relevant area of the
SLM, reducing the noise in the interferograms. In contrast, the canonical basis has the fundamental
limitation that the area of the elements is proportional to 1/N, and requires dimensions that are
compatible with the spatial period of the grating. In the case of the random scatterer, we were
only able to get reasonable corrections with the Hadamard basis and the intensity of the corrected
spot increased monotonically with N, which is consistent with fast random changes in phase over
small spatial scales. We also explore compressive sensing with the Hadamard basis and find that
the minimum compression ratio needed to achieve corrections with similar quality to those that
use the complete measurements depend on the basis ordering. The best results are reached in the
case of the Hadamard-Walsh and cake cutting orderings. Surprisingly, in the case of the random
scatterer we find that moderate compression ratios on the order of 10 20% (N= 4096) allow to
recover focused spots, although as expected, the maximum intensities increase monotonically with
the number of measurements due to the non sparsity of the signal.
I. INTRODUCTION
Most optical instruments and applications can be very
sensitive to aberrations. However, programmable opti-
cal elements like deformable mirrors and 2 dimensional
arrays like spatial light modulators (SLM) and digital
micromirror arrays (DMD) have enabled corrections of
arbitrary errors that can result in better focusing and
enhancing light transmission through scattering materi-
als [1, 2].
A very simple solution to correct aberrations with a
spatial light modulator is the ‘in-situ’ method that can-
cels the errors at the point where the beam is used (i.e.
focused spot) demonstrated by ˇ
Ciˇzmar and coworkers [3].
That approach uses an orthogonal canonical basis repre-
sentation of the field at the surface of an SLM, where the
basis is implemented in a square domain with an area A
that is divided into a grid of Nnon-overlapping elements.
Each element is represented by a unit vector in Ndimen-
sional space ˆei=δij (i, j = 1, ..., N). The amplitude and
phase contribution of each square wavelet at the point of
interest is measured with interferometry. In that way, it
is possible to enhance the intensity of the focused beam
by assigning each mode a phase that maximizes the in-
terference, cancelling the aberrations and enhancing the
intensity. This method has also been implemented with
a DMD that has faster update rates [4] to generate very
Pedro.quinto@nucleares.unam.mx
accurate structured beams.
A fundamental limitation of the in-situ method with
the canonical basis is that increasing the spatial resolu-
tion of the measurement by increasing the size of the basis
Ndecreases the area of the individual elements to A/N ,
reducing the amount of light diffracted by each element
which can increase noise in the measurement. Further-
more, if the size becomes smaller than the grating period
that is used to diffract the light, the diffraction efficiency
decreases exacerbating the problem.
Other orthogonal bases (i.e. Hadamard) utilize over-
lapping modes that fill the relevant area Aof the SLM
where the basis is defined [5]. For example, the Nor-
thogonal vectors of the Hadamard basis do not have zero
entries but ±1 values; as a result the signal to noise ratio
increases and is similar for all elements.
Furthermore, the spatial overlap of the modes in the
case of the Hadamard basis allows the use of compres-
sive sensing (CS) [6], where the full signal can be recon-
structed measuring only a subset Mof vectors in the
basis (M < N). This can be done because most sig-
nals are sparse with only a few components contributing
significantly. An important consideration in the imple-
mentation of compressive sensing is the ordering of the
Hadamard basis [7–9], which can significantly decrease
the number of measurements needed to reconstruct a sig-
nal.
Several groups have already implemented compressive
sensing for imaging a complex field (phase and ampli-
tude) [5], but to our knowledge there are no studies com-
paring the original ’in-situ’ experiment with a Hadamard
arXiv:2210.11483v1 [eess.IV] 20 Oct 2022
2
basis to correct a focused beam, which is important for
many applications like micromanipulation and microfab-
rication.
In this work we demonstrate in-situ wavefront correc-
tion for two extreme cases: a sparse perturbation with a
transparent optical element and a random scatterer. In
general, we find that the signal to noise ratio degrades
for the largest canonical basis (N=4096), while the case
of the Hadamard basis is independent of N. The case
of the random scatterer cannot be corrected with the
canonical basis, while the Hadamard correction improves
monotonically with N. We also investigate the following
orderings of the Hadamard basis for compressive sensing:
Hadamard, Hadamard-Walsh, cake cutting and random.
The best results are achieved with the Hadamard-Walsh
and cake cutting orderings.
This article is arranged in the following way: The ex-
perimental setup is described in section 2, including the
implementation of the bases at the SLM, the 3 step inter-
ferometry to recover the phase and amplitude contribu-
tion of each element and the description of the perturbing
elements. The results of the full measurements (3N) of
the bases are presented in section 3. Compressive sens-
ing is described in section 4 and the results are in sec-
tion 5 where wavefront corrections are implemented using
subsets of the full measurements (between 2 90%) and
different orderings of the Hadamard basis (Hadamard,
Hadamard-Walsh, cake cutting, random). Section 6 con-
tains the concluding remarks.
II. EXPERIMENT
This section contains details about the experimental
setup, bases, encoding at the SLM, 3 step interferom-
etry, field reconstruction and specific details about the
perturbations and the realization of the experiment.
A. Experimental Setup
The experiment schematic (not to scale) is depicted
in Figure 1a, where a CW laser beam (λ= 1064 nm,
4.95 ±0.01 mW) with linear polarization controlled by a
half wave plate (HWP1) is reflected by a spatial light
modulator (SLM - Hamamatsu: LCOS-SLM X10468,
20 µm pixel size) that imprints a 2d prism phase to the
horizontal polarization component to separate it from
the zero order. Then a polarizing beam splitter cube
(PBS) separates the modulated horizontal and unmodu-
lated vertical polarization that makes the reference beam
which propagates through a small aperture (diameter of
1.5 mm) and then through a half wave plate (HWP2)
projecting it into the horizontal polarization state. A
lens (f= 40 cm) at a distance of 40 cm from the SLM fo-
cuses the beams into the camera (Thorlabs DCC1645C,
3.6µm pixel size), that can acquire the transverse inten-
sity profile of the uncorrected/corrected beams (with no
FIG. 1. Experimental setup. (a) Experimental setup. (b)
Measurement bases in their matrix representation Φ (16 ×16
elements): (1) CAN: Canonical (2) H: Natural Hadamard (3)
HW: Hadamard-Walsh (4) CC: cake-cutting. The 4th row
is highlighted in all Φ, the orange highlighted components
in HW and CC show the position of the 4th element of H
showing the different ordering. (c) 2d vector representation
of the 4th 1d-measurement vector.
reference) or the interferograms with are measured at a
single pixel. We introduce an additional element to the
modulated beam at an arbitrary position to perturb it
preventing a good focus: a transparent element or a ran-
dom scatterer (Fig 1a, D1 and D2).
The experiment is similar to the original in-situ article
[3] and the main difference is the interferometer. ˇ
Ciˇzmar
and coworkers extracted the reference beam from a sin-
gle basis element located at the center of the grid, while
our reference emerges from a small section (controlled
with the iris) of the unmodulated beam which is equiva-
lent. Both experiments perform the measurements with a
CCD camera, which allows to quickly measure the trans-
verse profiles of the beams.
B. Bases and 2d representation at the SLM
We consider the canonical and the Hadamard bases.
The bases are represented by matrices with N×Nele-
ments, and each vector (row in the matrix) is represented
in the SLM as a square grid with N×Nthat is re-
sized to the size of the screen area that encodes the basis
at the SLM (512 ×512 px).
1. Canonical basis
The canonical basis is represented by an N×Nidentity
matrix ΦCAN =IN, where the orthogonal vectors are
摘要:

ComparisonbetweenHadamardandcanonicalbasesforin-situwavefrontcorrectionandthee ectoforderingincompressivesensingDennisScheidtandPedroA.QuintoSuInstitutodeCienciasNucleares,UniversidadNacionalAutonomadeMexico,ApartadoPostal70-543,04510,Cd.Mx.,Mexico(Dated:October24,2022)InthisworkwecomparetheCano...

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