wKSR-NLM: An Ultrasound Despeckling Filter Based on Patch Ratio and Statistical Similarity
Ultrasound images are affected by the well known speckle phenomenon, that degrades their perceived quality. In recent years, several denoising approaches have been proposed. Among all, those belonging to the non-local (NL) family have shown interesting performance. The main difference among the prop...
Main Authors: | Michele Ambrosanio, Bilel Kanoun, Fabio Baselice |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9162028/ |
Similar Items
-
The Pixel-similarity Measurement in SAR Image Despeckling
by: Li Guang-ting, et al.
Published: (2012-09-01) -
Deep Learning for SAR Image Despeckling
by: Francesco Lattari, et al.
Published: (2019-06-01) -
Anisotropic Weighted KS-NLM Filter for Noise Reduction in MRI
by: Bilel Kanoun, et al.
Published: (2020-01-01) -
Effect of despeckling filters on the segmentation of ultrasound common carotid artery images
by: Vaishali Narendra Naik, et al.
Published: (2022-08-01) -
Kinase Suppressor of RAS 1 (KSR1) Maintains the Transformed Phenotype of BRAFV600E Mutant Human Melanoma Cells
by: Zhi Liu, et al.
Published: (2023-07-01)