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Adrian Basarab

4 accepted papers

2025

Deep Unfolded Approximate Message Passing for Quantitative Acoustic Microscopy Image Reconstruction

ICASSP 2025accepted

Quantitative Acoustic Microscopy (QAM) is an imaging technology utilising high frequency ultrasound to produce quantitative two-dimensional (2D) maps of acoustical and mechanical properties of biological tissue at microscopy scale. Increased frequency QAM allows for finer resolution at the expense o…

Cited by 0SourceScholar
2025

Time-domain Beamforming for Room Acoustics Analysis based on Reverberant Field Estimation

ICASSP 2025accepted

This paper introduces a beamforming technique for room acoustic analysis, contrasting from most conventional methods by operating in the time domain rather than the frequency domain. The technique estimates the direction of arrival of early reflections and the reverberant field using impulse respons…

Cited by 0SourceScholar
2018

Restoration of Ultrasound Images Using Spatially-Variant Kernel Deconvolution

ICASSP 2018accepted

Most of the existing ultrasound image restoration methods consider a spatially-invariant point-spread function (PSF) model and circulant boundary conditions. While computationally efficient, this model is not realistic and severely limits the quality of reconstructed images. In this work, we address…

Cited by 0SourceScholar
2017

Enhanced ultrasound image reconstruction using a compressive blind deconvolution approach

ICASSP 2017accepted

Compressive deconvolution, combining compressive sampling and image deconvolution, represents an interesting possibility to reconstruct enhanced ultrasound images from compressed measurements. The model of compressive deconvolution includes, in addition to the measurement matrix, a 2D convolution op…

Cited by 5SourceScholar