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.File in questo prodotto:
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