A Two-Stage Multispectral Demosaicking Method Using Neville Filters and Directional Interpolation
Snapshot multispectral imaging systems typically capture multispectral images in a single shot by covering the sensor with a multispectral filter array (MSFA). A demosaicking algorithm is generally required for such systems to reconstruct the full-resolution multispectral images. A two-stage demosaicking method is proposed in this paper. In the first stage, the image is progressively interpolated by Neville filters. In the second stage, the directional interpolation with a novel weighting function is performed to enhance the quality of the pre-interpolated image. Experimental results demonstrate that the proposed approach achieves superior performance in both subjective and objective assessments.
Authors
- Ran Tao (ORCID: https://orcid.org/0000-0002-5243-7189)
- Wenzhuo Yang (ORCID: https://orcid.org/0000-0002-4915-839X)
- Wei Li (ORCID: https://orcid.org/0000-0001-7367-4178)
- Yan Shi
- Yakun Liu (ORCID: https://orcid.org/0009-0008-1661-2470)
Institutions
- Beijing Institute of Technology (CN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/icsidp62679.2024.10868493
- Primary Topic
- Image and Signal Denoising Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Beijing Institute of Technology