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Accurate Tools for Analyzing the Behavior of Noise Reduction Filters in Color Images

RUSSO, FABRIZIO
2013
  • journal article

Periodico
JOURNAL OF SIGNAL AND INFORMATION PROCESSING
Abstract
Effective cancellation of noise and preservation of color/structural information are features of paramount importance for any filter devoted to impulse noise removal in color images. In this paper novel full-reference tools for analyzing the behavior of this family of filters are presented. The proposed approach is based on the classification of color errors into two main classes that separately take into account the inaccuracy in removing noise pulses and the filtering distortion. The distortion errors are then classified into two subclasses for a deeper analysis of the filtering behavior. Computer simulations show that the proposed method gives more accurate results than using other measures of filtering perform- ance in the literature. Furthermore, the method can easily yield the spatial location of the different filtering features in the image.
DOI
10.4236/jsip.2013.41005
WOS
WOS:000306670900005
Archivio
http://hdl.handle.net/11368/2658513
Diritti
metadata only access
Soggetti
  • Color Image Denoising...

  • Image Analysi

  • Vector Filter

  • Impulse Noise

Visualizzazioni
6
Data di acquisizione
Apr 19, 2024
Vedi dettagli
google-scholar
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