Noise cancellation and detail preservation are two conflicting goals in the design of any denoising filter. In order to specifically measure these features, vector metrics have been recently introduced for grayscale and color images. This paper provides, for the first time, a study of the accuracy of the main algorithms in the literature focusing on the case of Gaussian noise. A novel vector method is also proposed to overcome the inaccuracies of current techniques.

On the Accuracy of Vector Metrics for Quality Assessment in Image Filtering

RUSSO, FABRIZIO
2014-01-01

Abstract

Noise cancellation and detail preservation are two conflicting goals in the design of any denoising filter. In order to specifically measure these features, vector metrics have been recently introduced for grayscale and color images. This paper provides, for the first time, a study of the accuracy of the main algorithms in the literature focusing on the case of Gaussian noise. A novel vector method is also proposed to overcome the inaccuracies of current techniques.
2014
9789299007327
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2822123
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