The concept of restoring photographic images degraded by motion blur and film-grain noise is based on the one-dimensional particle filter, a new approach is proposed for restoration under space-invariant as well as spacevariant blurring conditions. The method works by propagating the samples of the chance distribution through associate acceptable state model. The weights of the samples are computed using the observation model and the degraded image. The samples and their corresponding weights are used to estimate the original image. In order to verify and validate the proposed approach, the method is tested on several images, both synthetic and real. All the other different techniques used are either too mainstream to use in image restoration process.