An Address Generator of a Pseudo-Hilbert Scan in a Rectangle Region. - Sei-ichiro Kamata; Yukihiro Bandoh (ICIP (1), 1997)

Color image compression using a Hilbert scan. - Sei-ichiro Kamata; T. Nobuyoshi Nishi; Yukihiro Bandoh (ICPR, 1998)

An Address Generator for a 3-Dimensional Pseudo-Hilbert Scan in a Cuboid Region. - Yukihiro Bandoh; Sei-ichiro Kamata (ICIP (1), 1999)

A new algorithm for N-dimensional Hilbert scanning. - Sei-ichiro Kamata; Richard O. Eason; Yukihiro Bandoh (IEEE Trans. Image Process., 1999)

An Address Generator for an N-Dimensional Pseudo-Hilbert Scan in a Hyper-Rectangular Parallelepiped Region. - Yukihiro Bandoh; Sei-ichiro Kamata (ICIP, 2000)

Theoretical model of relationship between frame-rate and bit-rate for encoding high frame-rate video signal. - Yukihiro Bandoh; Seishi Takamura; Kazuto Kamikura; Yoshiyuki Yashima (ICIP (1), 2005)

Theoretical Model of Relationship Between Frame-Rate and Bit-Rate Considering the Effect of the Integral Phenomenon. - Yukihiro Bandoh; Seishi Takamura; Kazuto Kamikura; Yoshiyuki Yashima (ICIP, 2006)

Generalized Theoretical Model of Relationship Between Frame-Rate and Bit-Rate Considering Low Pass Filtering Induced by Shutter Opening. - Yukihiro Bandoh; Kazuya Hayase; Seishi Takamura; Kazuto Kamikura; Yoshiyuki Yashima (ICIP (1), 2007)

Encoder design for H.264/AVC based on contrast sensitivity considering spatio-temporal direction dependency. - Yukihiro Bandoh; Kazuya Hayase; Seishi Takamura; Kazuto Kamikura; Yoshiyuki Yashima (ICIP, 2008)

Theoretical Modeling of Inter-Frame Prediction Error for High Frame-Rate Video Signal. - Yukihiro Bandoh; Kazuya Hayase; Seishi Takamura; Kazuto Kamikura; Yoshiyuki Yashima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Mathematical analysis of the energy compaction affected by the dimensionality of Karhunen-Lòeve transform. - Yukihiro Bandoh; Hiroki Ohbayashi; Seishi Takamura; Kazuto Kamikura; Yoshiyuki Yashima (ICIP, 2009)

Temporal down-sampling algorithm of high frame-rate video for reducing inter-frame prediction error. - Yukihiro Bandoh; Seishi Takamura; Kazuto Kamikura; Yoshiyuki Yashima (ICIP, 2009)

Adaptive down-sampling of frame-rate for high frame-rate video. - Yukihiro Bandoh; Seishi Takamura; Kazuto Kamikura; Yoshiyuki Yashima (PCS, 2009)

Recent advances in high dynamic range imaging technology. - Yukihiro Bandoh; Guoping Qiu; Masahiro Okuda; Scott J. Daly; Til Aach; Oscar C. Au (ICIP, 2010)

A coding method for high bit-depth images based on optimized bit-depth transform. - Takeshi Ito; Yukihiro Bandoh; Seishi Takamura; Hirohisa Jozawa (ICIP, 2010)

Adaptive temporal filter for high frame-rate video. - Yukihiro Bandoh; Seishi Takamura; Hirohisa Jozawa (ICME, 2010)

Enhanced region-based adaptive interpolation filter. - Shohei Matsuo; Yukihiro Bandoh; Seishi Takamura; Hirohisa Jozawa (PCS, 2010)

Generalized Theoretical Modeling of Inter-Frame Prediction Error for High Frame-Rate Video Signal Considering Integral Phenomenon. - Yukihiro Bandoh; Seishi Takamura; Hirohisa Jozawa; Yoshiyuki Yashima (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Recent Advances on Scalable Video Coding. - Kazuya Hayase; Hiroshi Fujii; Yukihiro Bandoh; Hirohisa Jozawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Video generation algorithm based on high temporal-resolution imaging. - Yukihiro Bandoh; Seishi Takamura; Atsushi Shimizu (ICIP, 2016)

Adaptive intra prediction algorithm based on extended LARS. - Yuichi Sayama; Yukihiro Bandoh; Seishi Takamura; Atsushi Shimizu (PCS, 2016)

A Study on Video Generation Based on High-Density Temporal Sampling. - Yukihiro Bandoh; Seishi Takamura; Atsushi Shimizu (IEICE Trans. Inf. Syst., 2017)

Complexity Reduction for Optimal Entropy-Constrained Quantization. - Yukihiro Bandoh; Seishi Takamura; Atsushi Shimizu (DCC, 2018)

Complexity Reduction Algorithm for Optimum Quantizer Design Based on Amplitude Sparseness. - Yukihiro Bandoh; Seishi Takamura; Atsushi Shimizu (ICASSP, 2018)

Temporal Filter Design for Encoder-Oriented Video Generation Based on Bayesian Optimization. - Yukihiro Bandoh; Seishi Takamura; Atsushi Shimizu (ICIP, 2018)

Optimal Design of Adaptive Intra Predictors Based on Sparsity Constraint. - Yukihiro Bandoh; Yuichi Sayama; Seishi Takamura; Atsushi Shimizu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Secure Dictionary Learning for Sparse Representation. - Takayuki Nakachi; Yukihiro Bandoh; Hitoshi Kiya (EUSIPCO, 2019)

Complexity Reduction of Multi-Level DP Quantization Through Inter-Level Redundancy Elimination. - Yukihiro Bandoh; Seishi Takamura; Atsushi Shimizu (ICIP, 2019)

LF-TSP: Traveling salesman problem for HEVC-based light-field coding. - Kota Imaeda; Kohei Isechi; Keita Takahashi 001; Toshiaki Fujii; Yukihiro Bandoh; Takehito Miyazawa; Seishi Takamura; Atsushi Shimizu (VCIP, 2019)

Sparse DP Quantization Algorithm. - Yukihiro Bandoh; Seishi Takamura; Atsushi Shimizu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

Sparse Modeling on Distributed Encryption Data. - Yukihiro Bandoh; Takayuki Nakachi; Hitoshi Kiya (ICASSP, 2020)

Distributed Secure Sparse Modeling Based on Random Unitary Transform. - Yukihiro Bandoh; Takayuki Nakachi; Hitoshi Kiya (IEEE Access, 2020)

Secure Overcomplete Dictionary Learning for Sparse Representation. - Takayuki Nakachi; Yukihiro Bandoh; Hitoshi Kiya (IEICE Trans. Inf. Syst., 2020)

Multi-Layered DP Quantization Algorithm. - Yukihiro Bandoh; Seishi Takamura; Hideaki Kimata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Designing Secure Sparse Coding via Multiple Random Unitary Transforms. - Takayuki Nakachi; Yukihiro Bandoh (ISPACS, 2021)

Aerial Image Segmentation via Noise Dispelling and Content Distilling. - Yongqing Sun; Xiaomeng Wu; Yukihiro Bandoh; Masaki Kitahara (ACCV (Workshops), 2022)

Active Learning for Hyperspectral Image Classification via Hypergraph Neural Network. - Yongqing Sun; Anyong Qin; Yukihiro Bandoh; Chenqiang Gao; Yusuke Hiwasaki (ICIP, 2022)

Complexity Reduction of Graph Signal Denoising Based on Fast Graph Fourier Transform. - Takayuki Sasaki; Yukihiro Bandoh; Masaki Kitahara (ICIP, 2023)

Multimodadl Graph Signal Denoising With Simultaneous Graph Learning using Deep Algorithm Unrolling. - Keigo Takanami; Yukihiro Bandoh; Seishi Takamura; Yuichi Tanaka (ICIP, 2023)

Distorted image classification using neural activation pattern matching loss. - Satoshi Suzuki; Shoichiro Takeda; Ryuichi Tanida; Yukihiro Bandoh; Hayaru Shouno (Neural Networks, 2023)

Sparse Regularization Based on Reverse Ordered Weighted L1-Norm and Its Application to Edge-Preserving Smoothing. - Takayuki Sasaki; Yukihiro Bandoh; Masaki Kitahara (ICASSP, 2024)

Deep Counterfactual Representation Learning for Visual Recognition Against Weather Corruptions. - Hong Liu 009; Yongqing Sun; Yukihiro Bandoh; Masaki Kitahara; Shin'ichi Satoh 001 (IEEE Trans. Multim., 2024)