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Volume: 35 | Article ID: IQSP-301
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Image demosaicing: Subjective analysis and evaluation of image quality metrics
  DOI :  10.2352/EI.2023.35.8.IQSP-301  Published OnlineJanuary 2023
Abstract
Abstract

Most cameras use a single-sensor arrangement with Color Filter Array (CFA). Color interpolation techniques performed during image demosaicing are normally the reason behind visual artifacts generated in a captured image. While the severity of the artifacts depends on the demosaicing methods used, the artifacts themselves are mainly zipper artifacts (block artifacts across the edges) and false-color distortions. In this study and to evaluate the performance of demosaicing methods, a subjective pair-comparison method with 15 observers was performed on six different methods (namely Nearest Neighbours, Bilinear interpolation, Laplacian, Adaptive Laplacian, Smooth hue transition, and Gradient-Based image interpolation) and nine different scenes. The subjective scores and scene images are then collected as a dataset and used to evaluate a set of no-reference image quality metrics. Assessment of the performance of these image quality metrics in terms of correlation with the subjective scores show that many of the evaluated no-reference metrics cannot predict perceived image quality.

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Tawsin Uddin Ahmed, Seyed Ali Amirshahi, Marius Pedersen, "Image demosaicing: Subjective analysis and evaluation of image quality metricsin Electronic Imaging,  2023,  pp 301-1 - 301-6,  https://doi.org/10.2352/EI.2023.35.8.IQSP-301

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Copyright This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. 2023
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