• Priya Singla
• Shallu
• Sumit kumar

Ultrasound images are widely used in medical applications to visualize muscles and many internal organs. Ultrasound images are potent tool in medical. The obtained image mostly corrupted by speckle noise after transmission that makes visual observation more difficult. It is necessary to remove noise from image before used in any application. Many denoising algorithms such as wavelet based method; diffusion filtering method and linear-nonlinear filtering method are used to restore the original characteristics of image. It is compulsory to have idea about which type of noise is present in image for the selection of denoising algorithm. Filtering approach gives better result in many applications. The prime focus of this paper is to attenuate speckle noise from the ultrasound image by keeping most of the information. In this paper linear-nonlinear and diffusion filtering techniques are discussed for ultrasound image.

Ultrasound Image; Weiner Filter; Lee Filter; Median Filter and Anti-Diffusion Filter.Priya Singla1

"Speckle noise reduction using Linear and non-linear filters in ultrasound images: a study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.810-816, December 2018, Available :http://www.jetir.org/papers/JETIRDZ06105.pdf

"Speckle noise reduction using Linear and non-linear filters in ultrasound images: a study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp810-816, December 2018, Available at : http://www.jetir.org/papers/JETIRDZ06105.pdf