Title :
Nonlinear predictive image coding with a neural network
Author :
He, Zhenya ; Li, Haibo
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Abstract :
A multilayer neural network used for nonlinear predictive image coding is described. Two coding schemes, nonadaptive and adaptive, are shown. Owing to matching of the local properties of the image, nonlinear predictive coding gives a better performance than linear predictive coding. A series of computer experiments shows the method has not only the ability to generalize but also noise reduction capabilities. Compared with differential pulse code modulation (DPCM), it greatly reduces the number of bits to be transmitted
Keywords :
computerised picture processing; encoding; filtering and prediction theory; neural nets; DPCM; adaptive coding; bit rate reduction; computer experiments; differential pulse code modulation; multilayer neural network; noise reduction; nonadaptive coding; nonlinear predictive image coding; Digital signal processing; Feedforward neural networks; Helium; Image coding; Linear predictive coding; Modulation coding; Multi-layer neural network; Neural networks; Noise reduction; Predictive coding; Predictive models; Pulse modulation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116059