3 papers
eess.SP2026
Inner-Loop-Free Total-Variation-Constrained Full-Waveform Inversion
Shingo Takemoto, Shunsuke Ono
This paper proposes a computationally efficient algorithm to address the Full-Waveform Inversion (FWI) problem with a Total Variation (TV) constraint, designed to accurately recons…
eess.SP2025
Sampling Method for Generalized Graph Signals with Pre-selected Vertices via DC Optimization
Keitaro Yamashita, Kazuki Naganuma, Shunsuke Ono
This paper proposes a method for vertex-wise flexible sampling of a broad class of graph signals, designed to attain the best possible recovery based on the generalized sampling th…
cs.CV2025
Robust Foreground-Background Separation for Severely-Degraded Videos Using Convolutional Sparse Representation Modeling
Kazuki Naganuma, Shunsuke Ono
This paper proposes a foreground-background separation (FBS) method with a novel foreground model based on convolutional sparse representation (CSR). In order to analyze the dynami…