IEEE Access · 2022 · 12 citations · 37 references
ArtsEarth SciencesBiomedical ImagingDigital ImagingRemote SensingDigital Image ProcessingImage RestorationInterpolation TechniquesMultispectral ImagingRemote Sensing Image AnalysisRemote Sensing ImageryBenchmark DatasetsImage DemosaicingImage InterpolationMulti-spectral Image AnalysisMultispectral AnalysisMultispectral Image AnalysisMultispectral SensingSpectral Interpolation
The low-cost snapshot multispectral spectral imaging systems with multispectral filter array (MSFA) require generic MSFA demosaicking methods to generate the multispectral image (MSI) with the variable number of spectral bands depending on the applications. Most of the existing MSFA demosaicking methods are either non-generic or perform inadequately. This paper presents a new generic MSFA demosaicking method based on the directional weighted interpolation. Our proposed method calculates the four directional estimates around the location of the unknown pixel and combines them in a weighted manner using the local edge magnitude in the corresponding directions to estimate the missing pixel values. Experimental results confirm that the proposed demosaicking method provides improvement, compared to the state-of-the-art generic demosaicking methods in terms of both subjective and objective evaluations on the two benchmark MSI datasets.
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Hyperspectral and multispectral imaging for evaluating food safety and quality
Jianwei Qin, Kuanglin Chao, Moon S. Kim et al. · Journal of Food Engineering · 2013 · 422 citations