Definition:Single-sensor solutions may employ a spectral model in the processing pipeline in order to take advantage of both the spatial and spectral properties of the available samples and thus eliminate color shifts and artifacts in output, single-sensor captured images[1], [2], [3].
The fundamental rationale behind the introduction of the spectral model is that a typical natural image exhibits significant spectral correlation among its Red-Green-Blue (RGB) color planes, as well as significant spatial correlation among its spatially neighboring pixels. Since natural color images do not have large areas exhibiting uniform image characteristics or small variations in pixels’ values, modeling constraints are applied to spatial locations neighboring the pixel location selected for processing. Smoothly changing spectral image characteristics are enforced by averaging the obtained spectral quantities in the considered spatial neighborhood.
The currently used spectral models are based on...
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References
R. Lukac and K.-N. Plataniotis, “Normalized Color-Ratio Modeling for CFA Interpolation,” IEEE Transactions on Consumer Electronics, Vol. 50, No. 2, May 2004, pp. 737–745.
R. Lukac, K. Martin, and K.-N. Plataniotis, “Demosaicked Image Postprocessing Using Local Color Ratios,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 6, June 2004, pp. 914–920.
R. Lukac and K.-N. Plataniotis, “A Vector Spectral Model for Digital Camera Image Processing,” IEEE Transactions on Circuit and Systems for Video Technology, submitted.
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(2006). Spectral Model. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/0-387-30038-4_227
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DOI: https://doi.org/10.1007/0-387-30038-4_227
Publisher Name: Springer, Boston, MA
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