Title :
Wavelet decomposition of wide-sense stationary Markov processes with application to image coding
Author :
He, Zhenya ; Zhang, Yunnong ; Huang, Xinping ; Wang, Yongming
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Abstract :
The discrete wavelet decomposition of wide-sense stationary Markov processes is investigated with application to image coding. It is shown that the wavelet coefficients of the decomposition are a set wide-sense stationary time series. Their means and correlation functions are derived with properties and relationships established at every resolution. These results are then used to develop an optimal bit allocation scheme for image coding using wavelet transforms, which enables high compression ratio while maintaining good visual quality. The proposed method is well adapted to progressive image transmission as well as very low bit rate compression
Keywords :
Markov processes; correlation methods; data compression; discrete wavelet transforms; image coding; time series; transform coding; DWT; correlation functions; discrete wavelet decomposition; high compression ratio; image coding; optimal bit allocation scheme; progressive image transmission; very low bit rate compression; visual quality; wavelet transforms; wide-sense stationary Markov processes; wide-sense stationary time series; Bit rate; Discrete wavelet transforms; Image coding; Markov processes; Multiresolution analysis; Random processes; Signal processing; Stochastic processes; Wavelet analysis; Wavelet coefficients;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818364
