Title :
Recent advances in fuzzy techniques for image enhancement
Author_Institution :
Dipt. di Elettronica, Trieste Univ., Italy
fDate :
12/1/1998 12:00:00 AM
Abstract :
Enhancement of noisy image data is a very challenging issue in many research and application areas. In the last few years, nonlinear filters based on fuzzy models have been shown to be very effective in removing noise without destroying the useful information contained in the image data. The aim of this paper is to provide a comprehensive overview of most significant methods in the literature and to present some new advances in the field of evolutionary neural fuzzy filters
Keywords :
fuzzy neural nets; image enhancement; nonlinear filters; fuzzy system; image enhancement; neural fuzzy filter; noisy image data; nonlinear filter; Filtering; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Image enhancement; Image processing; Input variables; Multimedia systems; Noise cancellation; Nonlinear filters;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
