Title :
Moving image coding and decoding by DTCNN with 3-D templates
Author :
Ikegami, Munemitsu ; Tanaka, Mamoru
Author_Institution :
Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
Abstract :
Moving images have strong correlation in the spatial axis and also the time axis. By using this characteristic, we expect that a moving image can be compressed better than static image coding. We have proposed low bits static image coding using the discrete time cellular neural network (DTCNN). The paper describes moving image coding by the DTCNN with a three dimensional decoding filter, and its simulations
Keywords :
cellular neural nets; data compression; decoding; discrete time systems; image coding; low-pass filters; simulation; 3D decoding filter; 3D templates; discrete time cellular neural network; low bits static image coding; moving image coding; moving image decoding; simulations; spatial axis; time axis; Cellular networks; Cellular neural networks; Decoding; Distortion; Filters; Frequency; Humans; Image coding; Neural networks; Neurons;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381629
