A New Hybrid filtering technique for Despeckling of Ultrasound Images

Abstract

Medical diagnostics can benefit from ultrasound (US) imaging. Because it is non-invasive and inexpensive, the US is recommended over other medical diagnosis techniques. The inclusion of speckle noise in US images reduces the utility of the images. Correct diagnosis can be aided by a technology that eliminates speckle noise in US images. While reducing the speckle noise, our approach should preserve the critical structural figures cutting-edge US images. The method used for this work can reduce speckle noise in denoised image while still preserving structural information. The suggested method successfully denoises synthetic and real ultrasound pictures, as evidenced by the consequences of numerous measurable tests and optical review. A comparison of existing speckle reduction strategies was carried out in this study. We compared anistropic diffusion, Frost diffusion, Lee, and the Hmedian filter. The approaches are initially tested on simulated photos to compare the results. Exponential thresholding outperforms the other strategies when the noise variance is bigger. Furthermore, the hybrid filter is found to have equivalent enactment and hence functions well concluded a wide series of noise variation.