Hybrid Methodology For Speckle Noise Reduction In Medical Ultrasound Images With Coherence Enhancement
Devarapalli Jagadesh, Duggireddy Sai Yaswanth Kumar Reddy, Edara Lakshmi Srinivas, Jyothi Prasad M
Ultrasound image, Denoising, Speckle noise, Non-local means
Ultrasound imaging is associate degree incontestable important tool for designation, it provides in non-invasive manner the inner structure of the body to observe eventually diseases or abnormalities tissues.sadly, the presence of speckle noise in these images affects edges and fine details that limit the distinction resolution and create diagnostic harder. During this paper, we have a tendency to propose a denoising approach which mixes exponent transformation and a non native suggests that filter. and also the non-local mean (NLM) filter is used to filter extra noise by applying the redundancy info in wheezy images. A hybrid denoising methodology is planned in thought of the characteristics of each the native statistics of speckle noise and also the NLM filter. Since speckle noise is increasing and nonwhite method, the exponent transformation may be a cheap option to convert signal dependent or pure increasing noise to associate degree additive one. The key plan from mistreatment diffusion tensor is to adapt the flow diffusion towards the native orientation by applying eolotropic diffusion on the coherent structure direction of attention-grabbing options within the image. for example the effective performance of our rule, we have a tendency to gift some experimental results on synthetically and real ultrasound images.