Study of Safe Elliptic Curve Cryptography over Gaussian Integer. - Kazuki Naganuma; Takashi Suzuki; Hiroyuki Tsuji; Tomoaki Kimura (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Zero-Gradient Constraints for Destriping of Remote-Sensing Data. - Kazuki Naganuma; Saori Takeyama; Shunsuke Ono (ICASSP, 2021)

Operator-Norm-Based Variable-Wise Diagonal Preconditioning for Automatic Stepsize Selection of A Primal-Dual Splitting Algorithm. - Kazuki Naganuma; Shunsuke Ono (EUSIPCO, 2022)

Graph Spatio-Spectral Total Variation Model for Hyperspectral Image Denoising. - Shingo Takemoto; Kazuki Naganuma; Shunsuke Ono (IEEE Geosci. Remote. Sens. Lett., 2022)

A General Destriping Framework for Remote Sensing Images Using Flatness Constraint. - Kazuki Naganuma; Shunsuke Ono (IEEE Trans. Geosci. Remote. Sens., 2022)

Cross-Frame Foreground Structural Similarity Modeling by Convolutional Sparse Representation. - Kazuki Naganuma; Shunsuke Ono (APSIPA ASC, 2023)

Robust Spatiotemporal Fusion of Satellite Images via Convex Optimization. - Ryosuke Isono; Kazuki Naganuma; Shunsuke Ono (ICASSP, 2023)

Static-Scene Constrained Optimization for Matrix/Tensor-Decomposition-free Foreground-Background Separation. - Kazuki Naganuma; Shunsuke Ono (ICASSP, 2023)

Variable-Wise Diagonal Preconditioning for Primal-Dual Splitting: Design and Applications. - Kazuki Naganuma; Shunsuke Ono (IEEE Trans. Signal Process., 2023)

Hyperspectral Unmixing With Row-Sparsity Enhancement: A Difference-of-Convex Approach. - Kazuki Naganuma; Shunsuke Ono (APSIPA, 2024)

Generalized Graph Signal Sampling under Subspace Priors by Difference-of-Convex Minimization. - Keitaro Yamashita; Kazuki Naganuma; Shunsuke Ono (APSIPA, 2024)

Enhancing Hyperspectral Anomaly Detection by Difference-of-Convex Sparse Anomaly Modeling. - Koyo Sato; Kazuki Naganuma; Shunsuke Ono (ICASSP, 2024)

Toward Robust Hyperspectral Unmixing: Mixed Noise Modeling and Image-Domain Regularization. - Kazuki Naganuma; Shunsuke Ono (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Robust Spatiotemporal Fusion of Satellite Images: A Constrained Convex Optimization Approach. - Ryosuke Isono; Kazuki Naganuma; Shunsuke Ono (IEEE Trans. Geosci. Remote. Sens., 2024)

Stable and Lightweight Deep Primal-Dual Unrolling for Constrained Image Restoration with Convolutional Sparse Coding. - Takafumi Ueki; Kazuki Naganuma; Shunsuke Ono (ICASSP, 2025)

Controlling the Number of Sample-Contributive Vertices in Generalized Sampling of Graph Signals. - Keitaro Yamashita; Kazuki Naganuma; Shunsuke Ono (ICASSP, 2025)

Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping. - Shingo Takemoto; Kazuki Naganuma; Shunsuke Ono (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Robust Time-Varying Graph Signal Recovery for Dynamic Physical Sensor Network Data. - Eisuke Yamagata; Kazuki Naganuma; Shunsuke Ono (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Robust Foreground-Background Separation for Severely-Degraded Videos Using Convolutional Sparse Representation Modeling. - Kazuki Naganuma; Shunsuke Ono (CoRR, 2025)