Impulse noise detection and removal using fuzzy techniques

Electronics Letters

Volumn 33, Issue 5, 1997, Pages 378-379

  Zhang, D ^a   Wang, Z ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Fuzzy systems; Image enhancement; Noise measurement

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FUZZY SETS; IMAGE QUALITY; IMAGE RECONSTRUCTION; INTERFERENCE SUPPRESSION; ITERATIVE METHODS; MEMBERSHIP FUNCTIONS; SIGNAL TO NOISE RATIO;

FUZZY IMPULSE DETECTION; FUZZY NOISE CANCELLATION; IMPULSE NOISE DETECTION;

IMAGE ENHANCEMENT;

EID: 0031074246     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:19970257     Document Type: Article

References (5)

1. JANG, J.R., SUN, C.T., and MIZUTANI, E.: 'Neuro-fuzzy and soft computing' (Prentice Hall, 1997)
2. RUSSO, F., and RAMPONI, G.: 'A fuzzy filter for images corrupted by impulse noise', IEEE Sig. Process. Lett., 1996, 3, (6), pp. 168-170
3. LIN, H.M., and WILLSON, A.N.: 'Median filters with adaptive length', IEEE Trans. Circuits Syst., 1988, 35, (6), pp. 675-690
4. HARDIE, R.C., and BARNER, K.E.: 'Rank conditioned rank selection filters for signal restoration', IEEE Trans. Image Process., 1994, 3, (2), pp. 192-206
5. ABREU, E., LIGHTSTONE, M., MITRA, S.K., and ARAKAWA, K.: 'A new efficient approach for the removal of impulse noise from highly corrupted images', IEEE Trans. Image Process., 1996, 5, (6), pp. 1012-1025