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.

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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
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article

A Two-Stage Multispectral Demosaicking Method Using Neville Filters and Directional Interpolation

Ran Tao, Wenzhuo Yang, Wei Li, Yan Shi et al.
Image and Signal Denoising Methods
article

A Two-Stage Multispectral Demosaicking Method Using Neville Filters and Directional Interpolation

Ran Tao, Wenzhuo Yang, Wei Li, Yan Shi, Yakun Liu
article en

Abstract

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.

Beijing Institute of Technology (CN)
National Natural Science Foundation of China, Beijing Institute of Technology
Openalex Percentile: Top 73%
Image and Signal Denoising Methods
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