Fast oriented Anisotropic Diffusion filter

Abstract

In image and video processing the denoising process is an important step before several processing tasks. This paper presents a Faster Oriented Speckle Reducing Anisotropic Diffusion filter (FOSRAD) method to speed up the processing time and keep a higher quality of image, which can be considered as a modified version of the Oriented Speckle Reducing Anisotropic Diffusion (OSRAD) filter. The OSRAD works very well for denoising images with speckle noise. However, this filter has a powerful computational complexity and is not suitable for real time implementation. In this paper we propose a new scheme for optimizing the processing time based on look ahead decomposition technique. This method leads to dividing the processing time by two. Compared to the conventional OSRAD filter, the proposed filter has the advantage of speeding up the numerical scheme. The simulation result show that the FOSRAD filter improved the execution time by 14× compared to the original OSRAD filter. A comparison measure is given by the metrics like the mean structural similarity index and the peak signal-to-noise ratio.