2022
DOI: 10.1117/1.oe.61.10.106102
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Binocular phase retrieval based on the transport of intensity equation under multiwavelength illumination

Abstract: In view of the limitation that the transport of intensity equation method can only be used at a single wavelength, we propose a binocular phase retrieval algorithm based on multiwavelength illumination. First, we solve for the corresponding single-phase results at different wavelengths and then calculate the surface height of the object by combining the obtained synthetic wavelengths and synthetic phases, in order to reconstruct the initial phase results at different wavelengths. To solve the problem of amplif… Show more

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Cited by 1 publication
(3 citation statements)
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“…Tab.2 Comparison of SNR under different methods the method in reference [10] the method in reference [13] the method in this paper 450nm The SNR value of the proposed algorithm in this paper is significantly higher than that of the compared algorithms,the denoising effect is better than that of the compared algorithms.…”
Section: Resultsmentioning
confidence: 86%
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“…Tab.2 Comparison of SNR under different methods the method in reference [10] the method in reference [13] the method in this paper 450nm The SNR value of the proposed algorithm in this paper is significantly higher than that of the compared algorithms,the denoising effect is better than that of the compared algorithms.…”
Section: Resultsmentioning
confidence: 86%
“…A pure phase object with intensity 1 is selected as the test object in the experiment. The initial phase diagram is In order to verify the correctness of the algorithm, we compare the method proposed in this paper with the literature [10] and the literature [13]. Figures 4(b) and (c) show the phase results obtained using the method of literature [10], and [   (13) Table 1 Comparison of root mean square error for different methods the method in reference [10] the method in reference [13] the To further illustrate the noise immunity of the proposed method, we compare the changes of RMSE values when the noise level changes between the methods in references [10] and literature [13] and this paper.…”
Section: Resultsmentioning
confidence: 99%
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