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Point spread function estimation with computed wavefronts for deconvolution of hyperspectral imaging data

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Original languageEnglish
Article number673
JournalScientific reports
Volume15
Issue number1
Publication statusPublished - 3 Jan 2025

Abstract

Hyperspectral imaging (HSI) systems acquire images with spectral information over a wide range of wavelengths but are often affected by chromatic and other optical aberrations that degrade image quality. Deconvolution algorithms can improve the spatial resolution of HSI systems, yet retrieving the point spread function (PSF) is a crucial and challenging step. To address this challenge, we have developed a method for PSF estimation in HSI systems based on computed wavefronts. The proposed technique optimizes an image quality metric by modifying the shape of a computed wavefront using Zernike polynomials and subsequently calculating the corresponding PSFs for input into a deconvolution algorithm. This enables noise-free PSF estimation for the deconvolution of HSI data, leading to significantly improved spatial resolution and spatial co-registration of spectral channels over the entire wavelength range.

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Point spread function estimation with computed wavefronts for deconvolution of hyperspectral imaging data. / Zabic, Miroslav; Reifenrath, Michel; Wegner, Charlie et al.
In: Scientific reports, Vol. 15, No. 1, 673, 03.01.2025.

Research output: Contribution to journalArticleResearchpeer review

Zabic M, Reifenrath M, Wegner C, Bethge H, Landes T, Rudorf S et al. Point spread function estimation with computed wavefronts for deconvolution of hyperspectral imaging data. Scientific reports. 2025 Jan 3;15(1):673. doi: 10.1038/s41598-024-84790-6
Zabic, Miroslav ; Reifenrath, Michel ; Wegner, Charlie et al. / Point spread function estimation with computed wavefronts for deconvolution of hyperspectral imaging data. In: Scientific reports. 2025 ; Vol. 15, No. 1.
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AU - Zabic, Miroslav

AU - Reifenrath, Michel

AU - Wegner, Charlie

AU - Bethge, Hans

AU - Landes, Timm

AU - Rudorf, Sophia

AU - Heinemann, Dag

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