Reconstruction of degraded images using genetic algoritm for archive film restoration

A film restoration has been received considerable attention by many researchers, to support multimedia service of high quality. So far many techniques have been developed, however, such techniques do not permit the reconstruction of all kinds of degradation, because they have been developed based on their own specific environments and assumptions. This paper represents automatic restoration method for various type of degradation region. For this, we develop a stochastic method in MRF-MAP (Markov random field - maximum a posteriori) framework, where the restoration problem is formulated as the minimization problem of the posteriori energy function. Then, to minimize the energy function, we use distributed genetic algorithms (DGAs) that effectively deal with combinatorial problems. To assess the validity of the proposed method, it was tested on natural old films and artificially degraded films, and the results were compared with other methods. Then, the results show that the proposed method is superior to other methods.