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Noise segmentation for improving performance of Wiener filter method in spectral reflectance estimation
Author(s) -
Mahmoudi Nahavandi Alireza
Publication year - 2018
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.22200
Subject(s) - wiener filter , noise (video) , computer science , reflectivity , segmentation , filter (signal processing) , artificial intelligence , computer vision , pattern recognition (psychology) , optics , image (mathematics) , physics
Noise is an indispensable part of an imaging system. For having acceptable performance of reflectance estimation from digital signals, noise effects should be controlled. In this study a new method based on segmentation of noise is presented. Simulation and real experiments on four reflectance data sets showed that noise segmentation improves Wiener filter estimation method. However, oversegmentation can have reverse effect on the reflectance estimation results.