A new approach for noise reducing of image based on PCNN

R.P. Broussard, S. K. Rogers, M. E. Oxley, et al., Physiologically motivated image fusion for object detection using a pulse coupled neural network, IEEE Trans. on Neural Networks, 1999,10(3), 554-563.[2]X. Liu, D. L. Wang, Range image segmentation using a relaxation oscillator networks, IEEE Trans. on Neural Networks, 1999, 10(3), 564-573.[3]J.M. Kinser, Foveation by a pulse-coupled neural network, IEEE Trans. on Neural Networks,1999, 10(3), 621 625.[4]J.L. Johnson, M. L. Padgett, PCNN models and applications, IEEE Trans. on Neural Networks,1999, 10(3), 480-498.[5]H. Jcaufield, J. M. Kinser, Finding shortest path in the shortest time using PCNNs, IEEE Trans.on Neural Networks, 1999, 10(3), 604-606.[6]H.S. Ranganath, G. Kuntimad, Object detection using pulse coupled neural networks, IEEE Trans. on Neural Networks, 1999, 10(3), 615-620.[7]Derek M. Wells, Solving degenerate optimization problems using networks of neural oscillators,Neural networks, 1992, 5(6), 949 959.[8]R. Eckhorn, H. J. Reitboeck, M. Arndt, et al., Feature linking via synchronization among distributed assemblies: Simulation of results from cat cortex, Neural Computation., 1990, 2(3),293-307.[9]R. Eckhorn, A. Frien, R. Bauer, et al., High frequency oscillations in primary visual cortex of awake monkey. Neuroreport, 1993, 4(3), 243-246.[10]J. L. John, D. Ritter, Observation of periodic waves in a pulse-coupled ne ural network. Opt.Lett., 1993, 18(15), 1253-1255.[11]J. L. Johnson, Pulse-coupled neural nets: translation, rotation, scale, distortion and intensity signal invariance for images. Appl. Opt., 1994, 33(26), 6239-6253.