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

Fabrizio Russo
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.
Keywords:
image processing, denoising filters, image quality, vector metrics, Gaussian noise.
Download:
IMEKO-TC4-2014-304.pdf
DOI:
-
Event details
IMEKO TC:
TC4
Event name:
TC4 Symposium 2014
Title:

20th IMEKO TC4 Symposium on Measurements of Electrical Quantities (together with 18th TC4 International Workshop on ADC and DCA Modeling and Testing, IWADC)
"Research on Electrical and Electronic Measurement for the Economic Upturn"

Place:
Benevento, ITALY
Time:
15 September 2014 - 17 September 2014