Title :
Restoration of Blind Image based on FPNMF
Author :
Wu, Junyi ; Xu, Gang
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing
fDate :
Aug. 29 2008-Sept. 2 2008
Abstract :
By using NMF to separate the blind images, a new method of blind image restoration, Fixed Point NMF (FPNMF), was proposed. This technique avoids the prior knowledge of Point Spread Function (PSF) used in the processing of the classical linear or non-linear deconvolution. It features identifications of the real images is implemented by the observed images directly and also as in the blind source separation (BSS). By processing the natural gray images in the simulation, the results show the efficiency and robustness of this approach we made. It has to be noted that this method developed in the paper takes on some functions of the identification in facial positions and expressions.
Keywords :
blind source separation; image restoration; matrix decomposition; blind image restoration; blind source separation; fixed point nonnegative matrix factorization; natural gray image; Deconvolution; Degradation; Equations; Image restoration; Independent component analysis; Matrix decomposition; Principal component analysis; Robustness; Source separation; Wiener filter;
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
DOI :
10.1109/ICCSIT.2008.39