Image and video compression

IEEE Potentials

Volumn 17, Issue 1, 1998, Pages 29-33

  Cramer, Christopher ^a   Gelenbe, Erol ^a   Gelenbe, Pamir ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ASYNCHRONOUS TRANSFER MODE; COMPUTATIONAL COMPLEXITY; FEEDFORWARD NEURAL NETWORKS; FRACTALS; IMAGE QUALITY; INVERSE PROBLEMS; MATHEMATICAL MODELS; SIGNAL TO NOISE RATIO; TELECOMMUNICATION TRAFFIC; WAVELET TRANSFORMS;

COMPRESSION RATIO; INVERSE DISCRETE COSINE TRANSFORMS; JOINT PHOTOGRAPHIC EXPERTS GROUP; WAVELET COMPRESSION;

IMAGE COMPRESSION;

EID: 0031996770     PISSN: 02786648     EISSN: None     Source Type: Journal    
DOI: 10.1109/45.652854     Document Type: Article

References (7)

1. E. Gelenbe Random neural networks with negative and positive signals and product form solution Neural Computation 1 4 502 511 1989
2. E. Gelenbe Stability of the random neural network model Neural Computation 2 2 239 247 1990
3. E. Gelenbe Learning in the recurrent random neural network Neural Computation 5 1 154 164 1993
4. E. Gelenbe M. Sungur Image compression with the random neural network Proc. International Conference on Artificial Neural Networks Proc. International Conference on Artificial Neural Networks 1994
5. D. LeGall MPEG: A video compression standard for multimedia applications Communications of the ACM 34 4 46 58 April 1991
6. N. Sonehara Image data compression using a neural network model Proc. International Joint Conference on Neural Networks (IJCNN'89) Proc. International Joint Conference on Neural Networks (IJCNN'89) 1989
7. G.K. Wallace The JPEG Still picture compression standard Communications of the ACM 34 4 30 44 April 1991