Multispectral Demosaicing Based on Iterative-Linear-Regression Model for Estimating Pseudo-Panchromatic Image
This paper proposes a method for demosaicing raw images captured by multispectral cameras. The proposed method estimates a pseudo-panchromatic image (PPI) via an iterative-linear-regression model and utilizes the estimated PPI for multispectral demosaicing. The PPI is estimated through horizontal an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/3/760 |
| _version_ | 1797318237589864448 |
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| author | Kyeonghoon Jeong Sanghoon Kim Moon Gi Kang |
| author_facet | Kyeonghoon Jeong Sanghoon Kim Moon Gi Kang |
| author_sort | Kyeonghoon Jeong |
| collection | DOAJ |
| description | This paper proposes a method for demosaicing raw images captured by multispectral cameras. The proposed method estimates a pseudo-panchromatic image (PPI) via an iterative-linear-regression model and utilizes the estimated PPI for multispectral demosaicing. The PPI is estimated through horizontal and vertical guided filtering, with the subsampled multispectral-filter-array-(MSFA) image and low-pass-filtered MSFA as the guide image and filtering input, respectively. The number of iterations is automatically determined according to a predetermined criterion. Spectral differences between the estimated PPI and MSFA are calculated for each channel, and each spectral difference is interpolated using directional interpolation. The weights are calculated from the estimated PPI, and each interpolated spectral difference is combined using the weighted sum. The experimental results indicate that the proposed method outperforms the State-of-the-Art methods with regard to spatial and spectral fidelity for both synthetic and real-world images. |
| first_indexed | 2024-03-08T03:49:31Z |
| format | Article |
| id | doaj.art-22a145a0bc5a454b98b61d70059ca5cf |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-08T03:49:31Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-22a145a0bc5a454b98b61d70059ca5cf2024-02-09T15:21:45ZengMDPI AGSensors1424-82202024-01-0124376010.3390/s24030760Multispectral Demosaicing Based on Iterative-Linear-Regression Model for Estimating Pseudo-Panchromatic ImageKyeonghoon Jeong0Sanghoon Kim1Moon Gi Kang2School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of KoreaSchool of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of KoreaSchool of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of KoreaThis paper proposes a method for demosaicing raw images captured by multispectral cameras. The proposed method estimates a pseudo-panchromatic image (PPI) via an iterative-linear-regression model and utilizes the estimated PPI for multispectral demosaicing. The PPI is estimated through horizontal and vertical guided filtering, with the subsampled multispectral-filter-array-(MSFA) image and low-pass-filtered MSFA as the guide image and filtering input, respectively. The number of iterations is automatically determined according to a predetermined criterion. Spectral differences between the estimated PPI and MSFA are calculated for each channel, and each spectral difference is interpolated using directional interpolation. The weights are calculated from the estimated PPI, and each interpolated spectral difference is combined using the weighted sum. The experimental results indicate that the proposed method outperforms the State-of-the-Art methods with regard to spatial and spectral fidelity for both synthetic and real-world images.https://www.mdpi.com/1424-8220/24/3/760color demosaicingcolor interpolationmultispectral imaginghyperspectral imagingpseudo-panchromatic image |
| spellingShingle | Kyeonghoon Jeong Sanghoon Kim Moon Gi Kang Multispectral Demosaicing Based on Iterative-Linear-Regression Model for Estimating Pseudo-Panchromatic Image Sensors color demosaicing color interpolation multispectral imaging hyperspectral imaging pseudo-panchromatic image |
| title | Multispectral Demosaicing Based on Iterative-Linear-Regression Model for Estimating Pseudo-Panchromatic Image |
| title_full | Multispectral Demosaicing Based on Iterative-Linear-Regression Model for Estimating Pseudo-Panchromatic Image |
| title_fullStr | Multispectral Demosaicing Based on Iterative-Linear-Regression Model for Estimating Pseudo-Panchromatic Image |
| title_full_unstemmed | Multispectral Demosaicing Based on Iterative-Linear-Regression Model for Estimating Pseudo-Panchromatic Image |
| title_short | Multispectral Demosaicing Based on Iterative-Linear-Regression Model for Estimating Pseudo-Panchromatic Image |
| title_sort | multispectral demosaicing based on iterative linear regression model for estimating pseudo panchromatic image |
| topic | color demosaicing color interpolation multispectral imaging hyperspectral imaging pseudo-panchromatic image |
| url | https://www.mdpi.com/1424-8220/24/3/760 |
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