HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

A new speckle filtering method for ultrasound images based on a weighted multiplicative total variation

Abstract : Ultrasound images are corrupted by a multiplicative noise - the speckle - which makes hard high level image analysis. In order to solve the difficulty of designing a filter for an effective speckle removing, we propose a new approach for de-noising images while preserving important features. This method combines a data misfit function based on Loupas et al. model and a Weighted Total Variation (WTV) function as a multiplicative factor in the cost functional. The de-noising process is performed using a multiplicative regularization method through an adaptive window whose shapes, sizes and orientations vary with the image structure. Instead of performing the smoothing uniformly, the process is achieved in preferred orientations, more in homogeneous areas than in detailed ones to preserve region boundaries while reducing speckle noise within regions. Quantitative results on synthetic and real images have demonstrated the efficiency and the robustness of the proposed method compared to well-established and state-of-the-art methods. The speckle is removed while edges and structural details of the image are preserved.
Complete list of metadata

Contributor : Frédéric Davesne Connect in order to contact the contributor
Submitted on : Monday, February 3, 2014 - 5:36:19 PM
Last modification on : Wednesday, February 23, 2022 - 9:14:03 AM




Meriem Hacini, Fella Hachouf, Khalifa Djemal. A new speckle filtering method for ultrasound images based on a weighted multiplicative total variation. Signal Processing, Elsevier, 2014, 103, pp.214--229. ⟨10.1016/j.sigpro.2013.12.008⟩. ⟨hal-00941390⟩



Record views