Parallel and Distributed Computing in Multiple Images-A Combined Restoration

Image restoration is the process of recovering the original image from the degraded or noisy image. We are using multiple images for processing, the identifier select the blur image for further process and restore after applying the algorithms. Our object is identifying the blur image and restores them by parallel distributed computing. We are using blind deconvolution algorithm for restoration process. In which PSF value is unknown that is the intensity value by which image is blurred. We are applying 3 approaches first one is blind deconvolution algorithm. Second is parallel computing and third one is distributed computing. In parallel computing approaches one local scheduler is working for distributing the job and restore result at once. In distributed computing each worker has their same program after running program send the result to the job manager. This overall architecture is depended upon the parallel distributed computing. Job manager handled the overall process done by the worker.