Title :
A maximum entropy algorithm based on the aperiodic model of deconvolution for image restoration
Author :
Dongcheng, Shi ; Liqiang, Han ; Hongzhi, Wang
Author_Institution :
Dept. of Comput. & Electron. Eng., Jilin Inst. of Eng., Changchun city, China
Abstract :
We describe the aperiodic matrix model of deconvolution. Its kernel matrix is high order, and we cannot calculate this large matrix in a practical image restoration problem directly, but it can be handled by the DFT. We show a kind of maximum entropy algorithm for image restoration, based on the aperiodic matrix model, FFT algorithm and conjugate gradient algorithm (CGA). In experimental results its total computational burden and the memory requirement is moderate. It can run on a common PC computer
Keywords :
conjugate gradient methods; deconvolution; discrete Fourier transforms; image restoration; matrix algebra; maximum entropy methods; DFT; FFT algorithm; aperiodic matrix model; conjugate gradient algorithm; deconvolution; image restoration; kernel matrix; maximum entropy algorithm; Application software; Convolution; Deconvolution; Degradation; Differential equations; Entropy; Image processing; Image restoration; Kernel; Nonlinear equations;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770791
