Parallel Computation Approach for the Restoration of AFM Images based on the Tikhonov Regularization Method

This work proposes a parallel implementation for image restoration, applied to biological images, obtained from an Atomic Force Microscope (AFM) [1]. Depending on the scanning dimensions, any image obtained from this technique can present either poor signal/noise ratios and blurred contents. In order to restore or, at least, decrease the effects of such degradations, image restoration methods are usually employed. The algorithm of restoration is based on the use of the Tikhonov methodology, described elsewhere, known here as the serial approach [2].