Title :
A fuzzy-based impulse noise detection and cancellation for real-time processing in video receivers
Author :
Wu, Chung-Bin ; Liu, Bin-Da ; Yang, Jar-Ferr
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
6/1/2003 12:00:00 AM
Abstract :
In this paper, a simple fuzzy-based algorithm to remove the impulse noise from images is proposed. To achieve real-time applications, the proposed filter architecture, which combines fuzzy noise detection and noise filtering, is also designed. With low computational complexity, simulation results show that the proposed filters effectively remove the impulse noise.
Keywords :
computational complexity; filtering theory; fuzzy logic; image denoising; impulse noise; nonlinear filters; real-time systems; receivers; video equipment; video signal processing; filter architecture; fuzzy-based algorithm; fuzzy-based average threshold filter; fuzzy-based impulse noise cancellation; fuzzy-based impulse noise detection; images; low computational complexity; noise filtering; real-time applications; real-time hardware design; real-time processing; video receivers; Circuit noise; Computational complexity; Computational modeling; Fuzzy logic; Hardware; Image quality; Information filtering; Information filters; Noise cancellation; Nonlinear filters;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2003.814677
