Title :
Total variational image denoising. Influence of noise distribution: Comparison analysis
Author :
Oussalah, Mourad ; Alam, Intekhab
Author_Institution :
Electron., Electr. & Comput. Eng., Univ. of Birmingham, Birmingham, UK
Abstract :
In this paper we review the total variation image denoising schemes and highlight the various approaches to tune the employed regularization parameters. An experimental set-up, which uses both the geometrical and intensity variation of the noise, is designed to compare the performances of the various implemented schemes according to a set of metrics.
Keywords :
image denoising; statistical distributions; noise distribution; regularization parameter; total variational image denoising; Equations; Image edge detection; Mathematical model; Noise; Noise reduction; TV; Tuning; Total variation; noise statistics; parameter tuning;
Conference_Titel :
Cybernetic Intelligent Systems (CIS), 2010 IEEE 9th International Conference on
Conference_Location :
Reading
Print_ISBN :
978-1-4244-9023-3
Electronic_ISBN :
978-1-4244-9024-0
DOI :
10.1109/UKRICIS.2010.5898119