activity
20192026
most citedEpigraphical Relaxation for Minimizing Layered Mixed Norms

8 citations · 15 across the 8 of their papers we have counts for

collaborators

8 papers

eess.IV2026

Overlapped Wavelet Diffusion for Low-Light Image Enhancement

Fen Peng, Taizo Suzuki, Seisuke Kyochi

In this study, we propose an overlapped wavelet diffusion framework for Low-Light Image Enhancement (LLIE), which incorporates two complementary components to achieve blocking arti…

eess.SP2025

A Design of Denser-Graph-Frequency Graph Fourier Frames for Graph Signal Analysis

Kaito Nitani, Seisuke Kyochi

This paper introduces a design method for densergraph-frequency graph Fourier frames (DGFFs) to enhance graph signal processing and analysis. The graph Fourier transform (GFT) enab…

eess.SP2024

Sparsity-Enhanced Multilayered Non-Convex Regularization with Epigraphical Relaxation for Debiased Signal Recovery

Akari Katsuma, Seisuke Kyochi, Shunsuke Ono +1

This paper proposes a precise signal recovery method with multilayered non-convex regularization, enhancing sparsity/low-rankness for high-dimensional signals including images and…

eess.SP2022

Regularity-Constrained Fast Sine Transforms

Taizo Suzuki, Seisuke Kyochi, Yuichi Tanaka

This letter proposes a fast implementation of the regularity-constrained discrete sine transform (R-DST). The original DST \textit{leaks} the lowest frequency (DC: direct current)…

eess.IV2021

Directional Analytic Discrete Cosine Frames

Seisuke Kyochi, Taizo Suzuki, Yuichi Tanaka

Block frames called directional analytic discrete cosine frames (DADCFs) are proposed for sparse image representation. In contrast to conventional overlapped frames, the proposed D…

eess.SP2020★ 8 cited

Epigraphical Relaxation for Minimizing Layered Mixed Norms

Seisuke Kyochi, Shunsuke Ono, Ivan Selesnick

This paper proposes an epigraphical relaxation (ERx) technique for non-proximable mixed norm minimization. Mixed norm regularization methods play a central role in signal reconstru…

eess.AS2020★ 5 cited

Sound Event Detection Utilizing Graph Laplacian Regularization with Event Co-occurrence

Keisuke Imoto, Seisuke Kyochi

A limited number of types of sound event occur in an acoustic scene and some sound events tend to co-occur in the scene; for example, the sound events "dishes" and "glass jingling"…

cs.SD2019★ 2 cited

Sound Event Detection Using Graph Laplacian Regularization Based on Event Co-occurrence

Keisuke Imoto, Seisuke Kyochi

The types of sound events that occur in a situation are limited, and some sound events are likely to co-occur; for instance, ``dishes'' and ``glass jingling.'' In this paper, we pr…