Multiple Blur Images Restoration -- A Parallel Computing Approach

Image restoration is the process of recovering the original image from the degraded or noisy image. Blind Deconvolution Algorithm can be used where no information about PSF value, it restores image and PSF simultaneously. There are multiple noisy images for deblurring. The first task is original images are degraded by degradation model. It can be done by Gaussian Filter which is low-pass filter. The second task is canny edge detection method is used for identifying the strong and weak edge. The final task is deblured images is recovered by parallel computing task and restored at a time. Once the deblur kernel is estimated using our method. We use this parallel computing approach for the multiple images. A local scheduler done the parallel work. We focus our attention on the problem of restoring multiple images corrupted by blur and noise.