A spectral algorithm for removing salt and pepper from images

This paper presents an elegant solution to the impulse noise cancellation problem for images. The approach taken here is based on the theory of error-correcting (BCH) codes. Impulses are considered as “errors”. The process is in two steps: First, find the error locations in the image; then, correct the error values. A first pass is made on the lines of the image, a second pass is then performed on the columns. Next the same procedure is repeated. In most cases, impulse noise is completely removed after a few iterations are performed