By mapping iterative optimization algorithms into neural networks (NNs), deep unfolding
networks (DUNs) exhibit well-defined and interpretable structures and achieve remarkable …

Deep unfolding networks (DUNs) renowned for their interpretability and superior
performance have invigorated the realm of compressive sensing (CS). Nonetheless existing …

In the domain of compressive sensing (CS) deep unfolding networks (DUNs) have garnered
attention for their good performance and certain degree of interpretability rooted in CS …

Single-pixel imaging (SPI) is a potential computational imaging technique which produces
image by solving an ill-posed reconstruction problem from few measurements captured by a …

Abstract Scene-aware Adaptive Compressive Sensing (ACS) has constituted a persistent
pursuit holding substantial promise for the enhancement of Compressive Sensing (CS) …

Deep neural networks have revolutionized the field of image compressed sensing (CS) by
delivering unprecedented performance gains. Despite significant achievements, future …

Compressive Sensing (CS) has emerged as a transformative technique in image
compression, offering innovative solutions to challenges in efficient signal representation …

Image Compressive Sensing (CS) enables compressed capture of natural images via a
spatial multiplexing camera and accurate reconstruction from few measurements via an …

Compressive sensing (CS) is a kind of hardware-friendly technology in effective image
reconstruction. Most of the existing CS reconstruction methods can be classified into model …

Background It is very important to detect mandibular fracture region. However, the size of
mandibular fracture region is different due to different anatomical positions, different sites …