Comparative Analysis on Speckle Noise Reduction Techniques on Computed Tomographic Images

Reduction of speckle noise is one of the most important processes to increase the quality of computed topographic images. Image variances or speckle is a granular noise that inherently exists in and degrades the quality of CT images. Before using CT images for diagnosis purpose, the very first step is to reduce the effect of Speckle noise. Most of speckle reduction techniques have been studied by researchers; however, there is no comprehensive method that takes all the constraints into consideration. Filtering is one of the common method which is used to reduce the speckle noises. This paper compares different speckle reduction filters and presents the performance analysis for reducing speckle noise in computed topographic images in terms of the assessment parameters PSNR and MSE.