Fabryperot Spectral Deconvolution With Entropyweighted Penalization

• doi: 10.1109/LSENS.2024.3439209
• title: Fabry–Perot Spectral Deconvolution With Entropy-Weighted Penalization
• publisher: IEEE
• isbn:
• issn: 2475-1472
• rank: 2478
• access_type: LOCKED
• content_type: Journals
• abstract: Miniaturized complementary metal-oxide semiconductor (CMOS) hyperspectral cameras utilizing Fabry–Perot interferometers (FPIs) have emerged as a low-cost solution providing fast-acquisition miniaturized sensors well suited for both in-field analysis and remote sensing. However, FPIs generate harmonics around each wavelength of interest, hindering the accuracy and reliability of spectral information. This letter proposes a novel scene-dependent spectral correction and calibration method for miniaturized CMOS hyperspectral cameras using the FPI technology. Unlike the manufacturer's scene-independent spectral correction matrix, our approach utilizes deconvolution with Tikhonov regularization weighted by the entropy of the Fabry–Perot harmonics to remove the generated artifacts and restore the original spectra. It adapts to the scene's unique characteristics, reducing harmonics and improving hyperspectral data quality. The experiments on synthetic data and real images acquired by an FPI sensor demonstrate the superiority of our method in removing harmonic distortions and achieving improved accuracy in spectral calibration.
• article_number: 10631300
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10631300
• html_url: https://ieeexplore.ieee.org/document/10631300/
• abstract_url: https://ieeexplore.ieee.org/document/10631300/
• publication_title: IEEE Sensors Letters
• conference_location:
• conference_dates:
• publication_number: 7782634
• is_number: 10631276
• publication_year: 2024
• publication_date: Sept. 2024
• start_page: 1
• end_page: 4
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 72
• insert_date: 20240808
• index_terms:
  • ieee_terms:
    • Sensors
    • Cameras
    • Entropy
    • Harmonic analysis
    • Hyperspectral imaging
    • Calibration
    • Signal processing
    • CMOS technology
    • Fabry-Perot
    • Spectral analysis
  • author_terms:
    • Sensor signal processing
    • complementary metal-oxide semiconductor (CMOS) sensors
    • calibration
    • Fabry–Perot
    • hyperspectral imaging (HSI)
    • spectral correction
  • dynamic_index_terms:
    • Correction Method
    • Weight Decay
    • L2 Regularization
    • Tikhonov Regularization
    • Spectral Method
    • Hyperspectral Data
    • Original Spectra
    • Fabry-Perot Interferometer
    • Fabry-Pérot Interferometer
    • Etalon
    • Correction Matrix
    • Correction Matrices
    • Spectral Matrix
    • Spectral Matrices
    • Spectral Correction
    • Spectral Calibration
    • Wavelength Of Interest
    • Spectral Data
    • Spectral Resolution
    • Raw Images
    • Image Sensor
    • Camera Sensor
    • Least Squares Problem
    • Data Cube
    • Spectral Angle Mapper
    • Non-negative Least Squares
    • Spectral Reconstruction
    • Spectral Leakage
    • Leakage Errors
    • Level Of Smoothness
    • Smooth Level
• authors:
  • Author Name: Kinan Abbas
    Affiliation: Université du Littoral Côte d'Opale, LISIC – UR 4491, Longuenesse, France
    Author URL: https://ieeexplore.ieee.org/author/37089607996
    ID: 37089607996
    Order: 1
    Author Affiliations:
    • Université du Littoral Côte d'Opale, LISIC – UR 4491, Longuenesse, France
  • Author Name: Pierre Chatelain
    Affiliation: Université du Littoral Côte d'Opale, LISIC – UR 4491, Longuenesse, France
    Author URL: https://ieeexplore.ieee.org/author/175881018068564
    ID: 175881018068564
    Order: 2
    Author Affiliations:
    • Université du Littoral Côte d'Opale, LISIC – UR 4491, Longuenesse, France
  • Author Name: Matthieu Puigt
    Affiliation: Université du Littoral Côte d'Opale, LISIC – UR 4491, Longuenesse, France
    Author URL: https://ieeexplore.ieee.org/author/37938923700
    ID: 37938923700
    Order: 3
    Author Affiliations:
    • Université du Littoral Côte d'Opale, LISIC – UR 4491, Longuenesse, France
  • Author Name: Gilles Delmaire
    Affiliation: Université du Littoral Côte d'Opale, LISIC – UR 4491, Longuenesse, France
    Author URL: https://ieeexplore.ieee.org/author/37085436804
    ID: 37085436804
    Order: 4
    Author Affiliations:
    • Université du Littoral Côte d'Opale, LISIC – UR 4491, Longuenesse, France
  • Author Name: Gilles Roussel
    Affiliation: Université du Littoral Côte d'Opale, LISIC – UR 4491, Longuenesse, France
    Author URL: https://ieeexplore.ieee.org/author/37085451249
    ID: 37085451249
    Order: 5
    Author Affiliations:
    • Université du Littoral Côte d'Opale, LISIC – UR 4491, Longuenesse, France

Image Sensor

• sensor_type: CMOS
• resolution: 1920x1080
• dynamic_range: 40 dB
• pixel_size: 2.5 µm
• dark_current: 20 e-/s

Optical Data

• focal_length: 25 mm
• aperture: f/2.8
• field_of_view: 60 °
• distortion: 3%

Performance Metrics

• frame_rate: 30 fps
• signal_to_noise_ratio: 36 dB
• sensitivity: ISO 800
• shutter_speed: 1/60s
• power_consumption: 300 mW
• noise: 5 e-

Applications & Benefits

• cell_imaging: Used in biological imaging and diagnosis.
• benefits: Low power consumption, high sensitivity, and compact size.

Supporting Organizations

• supported_by: Université du Littoral Côte d’Opale, IMEC, Photonfocus

Manuscript Details

• publication_date: Sept. 2024

Relevancy Score

• score: 9

Processed JSON Filename

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