齋藤刀万，雨車和憲*, ","電気学会論文誌C,Vol.145, No.12, 11 pages, 2025．
Yoshihiko Tsuchiya, Norisato Suga, Kazunori Uruma, Masaya Fujisawa, ``Active Element Arrangement for Deep Learning-Based CSI Prediction in IRS-Assisted Systems , '' IEEE ACCESS, vol.13, pp.2829-2843, 2025. DOI: 10.1109/ACCESS.2024.3524218 IF:3.557.
Yoshihiko Tsuchiya, Norisato Suga, Kazunori Uruma, Masaya Fujisawa, ``Image-driven reflection pattern selection for standalone IRS control, '' IEICE ComEX, vol.13, no.12, pp. 517-520, 2024. DOI: 10.23919/comex.2024XBL0155
Yoshihiko Tsuchiya, Norisato Suga, Kazunori Uruma, Masaya Fujisawa, ``IRS Reflection Pattern Prediction Considering Receiver’s Moving Speed, '' Journal of Signal Processing, vol. 27, no. 4, pp. 107--110, 2023. DOI : 10.2299/jsp.27.107
久保田悟，雨車和憲，田中勇帆，古川利博，八嶋弘幸，``NMRS信号およびその差分信号のスパース性に基づいたデノイジング手法の提案,'' 電子情報通信学会論文誌(C), Vol.J105-C, No.12, pp.376 - 383, 2022. DOI : 10.14923/transelej.2022JCP5006
Daiki Ito, Ryohei Sasaki, Kazunori Uruma*, ``GAN-based tone curve learning for color transfer,'' IET Electronics Letters, pp.1-3, 2022. DOI:10.1049/ell2.12547, IF : 1.314.
澤田恵理華，雨車和憲*，土屋文彦，高橋智博，``描画特徴に着目したDnCNNによる漫画裏写り除去,'' 電子情報通信学会, Vol.J105-D, No. 3, pp. 217 - 226, 2022.
今野翔太，高橋智博，雨車和憲，古川利博，``次世代型レーザー撮像器の実現に向けた画像の高周波成分に着目したスキャン方法の提案,'' 電子情報通信学会, Vol.J105-D, No. 3, pp. 254 - 258, 2022.
Tomohiro Takahashi, Katsumi Konishi, Kazunori Uruma, Toshihiro Furukawa, ``Multiple subspace model and image-inpainting algorithm based on multiple matrix rank minimization,'' IEICE Transaction on Information and Systems(D), Vol.E103-D, No.12, pp.2682--2692, 2020.
Mamoru Sugawara, Kazunori Uruma*, Seiichiro Hangai, Takayuki Hamamoto, ``Local and Global Graph Approaches to Image Colorization,'' IEEE SPL, vol.27, pp.765-769, 2020. DOI: 10.1109/LSP.2020.2994817 , IF : 3.268. (*:corresponding author).
田中勇帆，雨車和憲, 中尾朋喜，古川利博, ``不均一磁場中におけるDOSYのための高速な観測データ行列分解法 ,'' 電子情報通信学会論文誌(C), vol. 103-C, no. 2, pp., 2020.
菅原護, 雨車和憲, 半谷精一郎, 浜本隆之, ``グラフ信号復元に基づくカラリゼーションアルゴリズムの提案,'' 電子情報通信学会論文誌(D), vol. J102-D, no.10, pp.628 - 638, 2019. DOI: 10.14923/transinfj.2019IEP0005
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi, Toshihiro Furukawa, ``Colorization-based image coding using graph Fourier transform'', Elsevier Journal on Signal Processing: Image Communication. vol.74, pp.266-279, 2019. DOI: 10.1016/j.image.2018.12.011 , IF : 2.814.
Taku Nakahara, Kazunori Uruma*, Tomohiro Takahashi, Toshihiro Furukawa, ``Deep convolutional neural networks for manga show-through cancellation,'' IEICE Transaction on Information and Systems(D), Vol.E101-D, No.11, pp.2844-2848, 2018.
Takeshi Aiyoshizawa, Katsumi Konishi, Kazunori Uruma, Ryouhei Sasaki, Tomohiro Takahashi, Toshihiro Furukawa, ``Image colorization based on locally linear embedding,'' Journal of Signal Processing, Vol.22 No.4, pp.203-206, 2018.
高橋智博，中西正樹，雨車和憲，古川利博，``L1ノルム最小解の外れ値頑健性を利用した繰り返し重み付け画像修復法,'' 電子情報通信学会論文誌(D), Vol.J100(D), No.10, pp.897-901, 2017.
田中勇帆，中尾朋喜，雨車和憲，泉顕也，内海博明，古川利博，``観測行列のサイズに着目した固有値分解と微分方程式の差分方程式近似に基づくDOSYのための高速行列分解アルゴリズム,'' 日本分析化会, 分析化学, Vol.66,No.10,pp.744-753, 2017.
中原拓，雨車和憲*，高橋智博，古川利博，``領域分割による辞書作成とスパース最適化に基づくシングルフレーム超解像,'' 電気学会論文誌C, Vol.137, No.11, pp.1506-1515, 2017.
Kazunori Uruma*, Katsumi Konishi, Tomohiro Takahashi, Toshihiro Furukawa, ``Fast colorization based image coding algorithm using multiple resolution images," EURASIP Journal on image and video processing, pp. 1-15, 2016. DOI: 10.1186/s13640-016-0107-8 , IF:1.73.
Kazunori Uruma, Tomohiro Takahashi, Katsumi Konishi and Toshihiro Furukawa, ``Improved Colorization Algorithm Using Lp Norm Minimization," Journal of Signal Processing, Vol. 19, No. 4, pp. 155-158, 2015.
Tomohiro Takahashi, Kazunori Uruma, Katsumi Konishi and Toshihiro Furukawa, ``Block Adaptive Algorithm for Signal Declipping Based on Null Space Alternating Optimization," IEICE Transaction on Information and Systems (D), Vol.E98-D, No.1, pp. 206-209, 2015.
Kazuma Shimada, Katsumi Konishi, Kazunori Uruma, Tomohiro Takahashi and Toshihiro Furukawa, ``Mixed l_p/l_1 norm minimization approach to Intra-Frame Super-Resolution," IEICE Transaction on Information and Systems (D), Vol.E97-D, No.10, pp.2814-2817, 2014.
Katsumi Konishi, Kazunori Uruma, Tomohiro Takahashi, Toshihiro Furukawa, ``Iterative Partial Matrix Shrinkage Algorithm for Matrix Rank Minimization," Signal Processing, Vol. 100, pp. 124–131, 2014. DOI: 10.1016/j.sigpro.2014.01.014 , IF : 3.47.
雨車和憲，小西克巳，高橋智博，古川利博，``復元誤差フィードバックによるColorization 符号化のための色指定情報抽出手法の高速化法の提案," 電子情報通信学会論文誌(D)，Vol.J97 (D), No.9, pp. 1451-1455, 2014.
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi, Toshihiro Furukawa, ``An Iterative Reweighted Least Squares Algorithm with Finite Series Approximation for A Sparse Signal Recovery," IEICE Transaction on Information and Systems (D), Vol.E97-D, No.2, pp.319-322, 2014.
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi, Toshihiro Furukawa, ``Mixed l0/l1 Norm Minimization Approach to Image Colorization," IEICE Transaction on Information and Systems (D), Vol.E95-D, No.8, pp.2150-2153, 2012.
Yoshihiko Tsuchiya, Norisato Suga, Kazunori Uruma, Masaya Fujisawa, ``,'' proc. IEEE TENCON 2025.
Yuho Tanaka, Kazunori Uruma, "Data Hiding Algorithm for Nuclear Magnetic Resonance Spectroscopy Data Based on Complex Graph Fourier Transform," Proc. of IEEE Int. symp. on circuits and systems (ISCAS), 2025.
Tomoya Yoshida, Kazunori Uruma, Ryohei Sasaki, ``GAN-based Tone curve learning approach to HDR image reconstruction method using single LDR image,'' proc. IEEE TENCON 2024.
Yoshihiko Tsuchiya, Norisato Suga, Kazunori Uruma, Masaya Fujisawa, ``Active element arrangement and prediction model for channel estimation in IRS-assisted systems,'' proc. IEEE TENCON 2024.
Yoshihiko Tsuchiya, Norisato Suga, Kazunori Uruma, Masaya Fujisawa,``IRS Controlling Method With Machine Learning Based on Position Information,'' proc. IEEE GCCE 2024.
Satoru Kubota, 〇Kazunori Uruma, Toshihiro Furukawa, Hiroyuki Yashima, "Denoising method for NMR signals based on two domain sparse representation," Proc. IEEE Int. Midwest Symp. Circuit and Systems (MWSCAS), 2023. 〇: presenter
Yoshihiko Tsuchiya, Norisato Suga, Kazunori Uruma, Kazuto Yano, Toshinori Suzuki, Masaya Fujisawa,``WLAN throughput prediction using deep learning with throughput, RSS, and COR,'' proc. ISPACS 2022.
Yoshihiko Tsuchiya, Norisato Suga, Kazunori Uruma, Masaya Fujisawa,``LSTM-based Spectral Efficiency Prediction by Capturing Wireless Terminal Movement in IRS-Assisted Systems,'' proc. IEEE Vehicular Technology Conference (VTC) 2022-spring, 2022.
Tsukasa Kubota, Kairi Ito, Kazunori Uruma, ``Depth image restoration algorithm using graph signal processing based image colorization,'' proc. IWAIT2022.
Tsukasa Kubota, Kazunori Uruma, `` Image colorization algorithm based on graph signal processing using two-steps image segmentation,'' proc. IEEE MWSCAS2021.
Tomohiro Takahashi, Kazunori Uruma, Keita Kobayashi, ``Single image reflection removal for privacy protection using deep cnn,'' Proc. IEEE Int. Midwest Symp. Circuit and Systems (MWSCAS), 2020.
Yuho Tanaka, Kazunori Uruma, Ryohei Sasaki, Norisato Suga, Tomohiro Takahashi, ``Frame Recovery Method for Screen to Camera Communication Using CMOS Sensor camera,'' Proc. IEEE Int. Midwest Symp. Circuit and Systems (MWSCAS), 2020.
Norisato Suga, Ryohei Sasaki, Yuho Tanaka, Kazunori Uruma, Tomohiro Takahashi, ``LLR Calculation for on-off keying in screen to camera communication system,'' Proc. IEEE Int. Midwest Symp. Circuit and Systems (MWSCAS), 2020.
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi, Toshihiro Furukawa,``A novel approach to image steganography based on the image colorization,'' in Proc. IEEE Int. Conf. on Visual Communications and Image Processing (VCIP), 2019.(acceptance rate: 59%).
Kaito Abiko, Kazunori Uruma, Mamoru Sugawara, Seiichiro Hangai, Takayuki Hamamoto,``Image segmentation based graph-cut approach to fast color image coding via graph Fourier transform,'' in Proc. IEEE Int. Conf. on Visual Communications and Image Processing (VCIP), 2019.(acceptance rate: 59%).
Yuho Tanaka, Kazunori Uruma, Tomoki Nakao, Toshihiro Furukawa, ``Affine Approximation Approach to Matrix Factorization Problem for DOSY,'' Proc. IEEE Int. Midwest Symp. Circuit and Systems (MWSCAS), 2019.
Rumina Kano, Jun Inahara, M. Obermeier, Kazunori Uruma, Seiichiro Hangai, ``A study on prediction of the maximum luminance value of SDR images for HDR displays using CNN,'' The 25th International Display Workshops (IDW), 2018.
Mamoru Sugawara, Kazunori Uruma, Seiichiro Hangai, ``Colorization algorithm based on image segmentation and graph signal processing,'' APSIPA ASC2018, pp.--, 2018.【招待講演】
Kazunori Uruma, Shunsuke Takasu, Keiko Masuda and Seiichiro Hangai, ``Region-wise super resolution algorithm based on the viewpoint distribution,'' Picture Coding Symposium (PCS) 2018, 2018. (acceptance rate: ).
Kazunori Uruma, Ken Saito, Tomohiro Takahashi, Katsumi Konishi, Toshihiro Furukawa ``Representative pixels compression algorithm using graph signal processing for colorization-based image coding,'' in Proc. IEEE Int. Conf. on Image Processing (ICIP), pp.3255--3259, 2017. (acceptance rate: 45%).
Yuuho Tanaka, Kazunori Uruma, Tomoki Nakao, Kenya Izumi, Hiroaki Utsumi, Toshihiro Furukawa ``Fast matrix decomposition for DOSY using the eigenvalue decomposition and the difference approximation,'' Proc. IEEE Region Ten Conf. (TENCON), pp., 2017.(acceptance rate: 57.4%).
Yuuho Tanaka, Kazunori Uruma, Tomoki Nakao, Kenya Izumi, Hiroaki Utsumi, Toshihiro Furukawa ``Automatic removing method of the frequency shift for DOSY analysis based on the nonlinear fitting,'' Proc. IEEE Int. Symp. Intelligent Signal Process. Commnication Systems (ISPACS), 2017.
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi, Toshihiro Furukawa, ``High resolution depth image recovery algorithm based on the modeling of the sum of an average distance image and a surface image,’’ in Proc. IEEE Int. Conf. on Image Processing (ICIP), pp.2836-2840, 2016. (acceptance rate: 45%).
Taku Nakahara, Kazunori Uruma, Tomohiro Takahashi, Toshihiro Furukawa, ``Single-frame super-resolution using superpixel based dictionary,'' Proc. IEEE Int. Midwest Symp. Circuit and Systems (MWSCAS), 2016.
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi, Toshihiro Furukawa, ``Depth image coding algorithm via the colorization based image coding,'' Proc. IEEE Int. Midwest Symp. Cir. Syst (MWSCAS), 2016.
Tomohiro Takahashi, Katsumi Konishi, Kazunori Uruma, Toshihiro Furukawa, ``Adaptive image inpainting algorithm based on generalized principal component analysis,'' IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016.
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi and Toshihiro Furukawa, “High-resolution depth image recovery algorithm using grayscale image,” Proc. European Signal Processing Conference (EUSIPCO), 2015.
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi and Toshihiro Furukawa, “Color image coding based on the colorization algorithm using multiple resolution images,” Proc. of IEEE Int. symp. on circuits and systems (ISCAS), 2015. (acceptance rate: 49%).
Yo Hashimoto, Katsumi Konishi, Toshihiro Takahashi, Kazunori Uruma, Toshihiro Furukawa, ``L1 norm minimization approach to MIMO detector," Proc. of IEEE Int. Conf. on Signal Process. and Commun. Syst. (ICSPCS), 2014.
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi and Toshihiro Furukawa, " Image Colorization Algorithm Using Series Approximated Sparse Function," Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), pp. 1215-1219, 2014. (acceptance rate: 48%).
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi and Toshihiro Furukawa, ``An image colorization algorithm using sparse optimization,’’ Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), pp. 1588-1592, 2013. (acceptance rate: 52%).
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi and Toshihiro Furukawa, ``Image colorization based on the mixed L0/L1 norm minimization,’’ Proc. IEEE Int. Conf. on Image Processing (ICIP), pp.2113-2116, 2012. (acceptance rate: 38.6%).
解説記事等
雨車和憲，高橋智博，"スキャンデータの裏写り除去手法'' 画像ラボ, pp.30-34,2023年1月号
雨車和憲, 半谷精一郎, ``カラリゼーション －白黒画像・映像を自動でカラー化する－," 電子情報通信学会Fundamentals Review, vol.11, no.3, pp.186--192, 2018.
高橋智博，雨車和憲, ``GUIDEを用いたGUIプレゼンテーションによる公正な研究成果発表,'' MATLAB EXPO2018 JAPAN, 2018.
雨車和憲, 杉村大輔, ``ICIP2017 参加報告," 映像情報メディア学会誌, vol.72, no.1, pp.75--76 2018 .
メディア出演
NHKbsプレミアム「幻解！超常ファイル ダークサイドミステリー 」取材協力・出演 2024年
NHKbsプレミアム「超常ファイル2021年末SP」取材協力 2021年
NHKbsプレミアム「超常ファイル ダークサイドミステリー」取材協力・出演 2020年
NHKbsプレミアム「ダークサイドミステリー」取材協力・出演 2019年
出張講義
都立小平西高校 出張講義2025
伊志田高校 出張講義2024
横浜翠陵高校 出張講義2024
平塚江南高等学校出張講義「高校数学で学ぶ画像工学と人工知能の話」2024年
叡明高等学校模擬授業「高校数学で学ぶ画像工学と人工知能の話」2023年
都立豊島高校出前講義「高校数学で学ぶ画像工学」2023年
東京理科大学大学院特別講義「画像処理技術の最新手法と応用」2019
国際基督教大学特別講義「Introduction to color image processing」2019
◆自身の受賞
菅原護，雨車和憲，半谷精一郎，IE賞，電子情報通信学会画像工学研究会，2018年3月．
雨車和憲，FIT奨励賞，情報処理学会，2016.
Kazunori Uruma, Student Paper Award, 2015 International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'15)
雨車和憲，能澤智弥，研究奨励賞，日本地球惑星科学連合2007年大会．
雨車和憲，大姶良義将，佐藤彰紘，銀欅賞，第9回数理科学コンクール，千葉大学先進科学研究教育センター．
◆研究指導学生の受賞
Tsuchiya Yoshihiko, Student Paper Award, 2023 International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'23).
伊藤大稀，優秀学生賞，公益社団法人計測自動制御学会，2023.
窪田司，優秀学生賞，公益社団法人計測自動制御学会，2022.
菅原護，ベストポスター賞，PCSJ2018．
Takeshi Aiyoshizawa, Student Paper Award, 2018 International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'18).
Mitsuhiro Komiya, Student Paper Award, 2016 International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'16).
◆学内（2023年度以降）
１.斎藤刀万，情報学部成績優秀者表彰 2023
２.森本神那，最優秀賞，三大学合同研究発表会 2024
◆科研費（研究代表者）
独立基盤形成支援 研究代表者 令和5年度
若手研究「階層的グラフ表現を用いた動画像の新しいモデリング手法の構築と情報復元問題への応用 」研究代表者 令和5年度-令和7年度
若手研究「低コストで高性能な無人観測ロボットのための多チャネル劣化動画像同時復元技術の構築 」研究代表者 平成31-令和3年度
研究活動スタート支援「グラフ信号処理およびカラリゼーション符号化に基づく多チャネル動画像符号化の開発」研究代表者 平成29-30年度
日本学術振興会特別研究員奨励費「スパース最適化およびColorization符号化に基づく次世代画像圧縮法の開発」研究代表者 平成26-28年度
◆共同研究等
共同研究： 家電搭載型カメラに関する画像処理研究 令和2年11月 - 令和3年11月
共同研究： 家電搭載型カメラに関する認識手法に関する研究 令和元年度 - 令和2年7月
受託研究： ディスプレイに関する研究 研究分担者 平成29年度
◆その他
文部科学省私立大学研究ブランディング事業採択課題：「巨大都市・複合災害に対する建築・情報学融合によるエリア防災活動支援技術の開発と社会実装」平成28年度- (平成30年10月より参加)