Title :
Image reconstruction by an extended autocorrelation method
Author :
Ying-Lin, Yu ; Li-Hong, Ma
Author_Institution :
South China Univ. of Technol., Guang Zhou, China
Abstract :
The authors propose a method using a new Extended Autocorrelation (EAC) technique to improve the traditional 2D AR-model algorithms. They use the EAC technique to achieve better parameter estimation that provides exact matching between the first P+1 autocorrelation coefficients of the 20 image signal and those of the 20 model while the high-order coefficients mismatch is minimized
Keywords :
computerised picture processing; correlation methods; parameter estimation; 2D AR-model algorithms; autocorrelation coefficients; extended autocorrelation method; image reconstruction; noise polluted signal; parameter estimation; Autocorrelation; Cost function; Degradation; Equations; Filters; Image reconstruction; Linear predictive coding; Pollution; White noise; Yield estimation;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184422
