Automated data-driven selection of the hyperparameters for total-variation-based texture segmentation
Penalized least squares are widely used in signal and image processing. Yet, it suffers from
a major limitation since it requires fine-tuning of the regularization parameters. Under …
a major limitation since it requires fine-tuning of the regularization parameters. Under …
Multiframe-based Adaptive Despeckling Algorithm for Ultrasound B-mode Imaging with Superior Edge and Texture
Removing speckle noise from medical ultrasound images while preserving image features
without introducing artifact and distortion is a major challenge in ultrasound image …
without introducing artifact and distortion is a major challenge in ultrasound image …
A recursive unbiased risk estimate for the analysis-based minimization
J Li - Signal, Image and Video Processing, 2021 - Springer
The sparsity-based signal reconstruction is typically formulated as an ℓ 1 regularization (ie,
lasso problem in statistics), and the reconstruction accuracy strongly depends on the …
lasso problem in statistics), and the reconstruction accuracy strongly depends on the …
[PDF][PDF] High quality ultrasound B-mode image generation using 2-D multichannel-based deconvolution and multiframe-based adaptive despeckling algorithms
J Dey - 2019 - lib.buet.ac.bd
Improving resolution and removing speckle noise from medical ultrasound images while
preserving tissue texture, small details, and edges without introducing artifact and distortion …
preserving tissue texture, small details, and edges without introducing artifact and distortion …