Edge-preserved neural network model for image restoration

[1]  Hiroaki Hara.  Two storage mechanisms in random network system: Probabilistic model of memory , 1988, Neural Networks.

[2]  Jerome M. Shapiro,et al.  Embedded image coding using zerotrees of wavelet coefficients , 1993, IEEE Trans. Signal Process..

[3]  Avideh Zakhor.  Iterative procedures for reduction of blocking effects in transform image coding , 1992, IEEE Trans. Circuits Syst. Video Technol..

[4]  Ling Guan,et al.  Neural network restoration of images suffering space-variant distortion , 1995 .

[5]  Avideh Zakhor,et al.  Orientation adaptive subband coding of images , 1993, ISCAS.

[6]  M. Arozullah,et al.  Image compression with a hierarchical neural network , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Bernard Widrow,et al.  30 years of adaptive neural networks: perceptron, Madaline, and backpropagation , 1990, Proc. IEEE.

[8]  Erol Gelenbe,et al.  Low bit-rate video compression with neural networks and temporal subsampling , 1996, Proc. IEEE.

[9]  Hideki Imai,et al.  Image compression using a neural network with learning capability of variable function of a neural unit , 1990, Other Conferences.

[10]  Jean-Bernard Theeten,et al.  Neural Approach for TV Image Compression Using a Hopfield Type Network , 1988, NIPS.

[11]  Giovanni L. Sicuranza,et al.  Artificial neural network for image compression , 1990 .

[12]  George Cybenko,et al.  Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..

[13]  Robert M. Gray,et al.  An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..

[14]  Nasser M. Nasrabadi,et al.  Vector quantization of images based upon the Kohonen self-organizing feature maps , 1988, ICNN.

[15]  Nasser M. Nasrabadi,et al.  Nonlinear vector prediction using feed-forward neural networks , 1997, IEEE Trans. Image Process..

[16]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[17]  Michel Barlaud,et al.  Variational approach for edge-preserving regularization using coupled PDEs , 1998, IEEE Trans. Image Process..

[18]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[19]  B. K. Jenkins,et al.  Image restoration using a neural network , 1988, IEEE Trans. Acoust. Speech Signal Process..

[20]  Ken-ichi Funahashi,et al.  On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.

[21]  Aggelos K. Katsaggelos,et al.  Image restoration using a modified Hopfield network , 1992, IEEE Trans. Image Process..

[22]  Simon Haykin,et al.  Neural network approaches to image compression , 1995, Proc. IEEE.

[23]  Nikolas P. Galatsanos,et al.  Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images , 1993, IEEE Trans. Circuits Syst. Video Technol..

[24]  Nasser M. Nasrabadi,et al.  Neural network architectures for vector prediction , 1996 .

[25]  Aggelos K. Katsaggelos,et al.  A regularized iterative image restoration algorithm , 1991, IEEE Trans. Signal Process..