Papers & code

Centered on low-light image enhancement, we carry out our research in the open — publishing papers, code and evaluation results.

01Core Research

Low-light image enhancement

  1. Preprint

    SD-Retinex: A Stable Retinex Method for Low-Light Image Enhancement Designed Around the Sigmoid Derivative(opens in a new tab)

    Toma Okugawa — Zenodo

    A training-free, CPU-only low-light enhancement method built on the sigmoid derivative, with a pole-free real-axis kernel and a bounded tone map. Best PSNR and lowest color error among the training-free methods tested on LOL eval15.

  2. Preprint

    複素指数カーネルに基づく高速・構造保持型 Retinex手法 XCRの提案(opens in a new tab)

    A High-Speed and Structure-Preserving Retinex Method Based on a Complex Exponential Kernel: XCR

    Toma Okugawa — Jxiv

    A Retinex method that estimates illumination with a separable kernel derived analytically from the complex exponential. Processes 1080p video at an average of 15.32 FPS on a CPU alone (measured on a Snapdragon X PC).

  3. Preprint

    Fast Single-Scale Retinexの提案と低照度環境におけるリアルタイム骨格検出性能の評価(opens in a new tab)

    Proposal of Fast Single-Scale Retinex and Evaluation of Real-Time Skeleton Detection Performance in Low-Light Environments

    Toma Okugawa — Jxiv

    Proposes a fast Single-Scale Retinex and evaluates real-time skeleton detection in low-light environments.

02Publications

Team publications & talks

  1. ConferencePeer-reviewedTo appear

    Re-Defining Vanishing Municipalities in Japan: A Multidimensional Clustering and SLM-Based Policy Insight Framework

    Toma Okugawa, Keito Inoshita — IEEE 15th Global Conference on Consumer Electronics (GCCE 2026)

    A framework that combines multidimensional clustering with small language models (SLMs) to redefine “vanishing municipalities” in Japan and derive policy insights.

  2. ConferencePeer-reviewed

    リアルタイム姿勢推定による弓道フォーム評価手法の提案とWeb実装

    Proposal and Web Implementation of a Kyudo Form Evaluation Method Based on Real-Time Pose Estimation

    Toma Okugawa, Tomonari Masuzaki, Takahiro Makiyama — Shikoku-Section Joint Convention of the Institutes of Electrical and Related Engineers

    Proposes a method for evaluating kyudo (Japanese archery) form using real-time pose estimation, implemented as a web application. Received the Outstanding Presentation Award.

03Roadmap

Research themes ahead

  1. 01

    Dark-space inspection dataset

    Capturing inspection footage in ship compartments and pipes while recording illuminance, distance and light output, with labels verified by people.

  2. 02

    Enhancement meets detection

    Pre-processing that adapts to darkness to stabilize object detection, anomaly detection and vision-language models.

  3. 03

    Field-relevant evaluation

    Measuring impact with metrics that matter on site, such as missed-defect rate and inspection time.

  4. 04

    Faster at the edge

    Real-time implementations for 1080p video, NPUs and older PCs.

Contact

PoCs, joint research and media inquiries

We would love to hear from operators with dark inspection footage and from companies and research institutions interested in joint validation.