Imaizumi Shoko

Encryption Method for JPEG Bitstreams for Partially Disclosing Visual Information

Mare Hirose, Shoko Imaizumi, Hitoshi Kiya

Electronics, 13(11) 2016-2016, May 22, 2024 Peer-reviewed

An Extended Method for Reversible Color Tone Control Using Data Hiding

Daichi Nakaya, Shoko Imaizumi

Electronics, 13(7) 1204-1204, Mar 25, 2024 Peer-reviewed

Reversible Data Hiding for OpenEXR Images in Compressible Encrypted Domain

Noa Kikuchi, Shoko Imaizumi

Bull. Soc. Photogr. Imag. Japan, 34(1) 1-8, Mar, 2024 Peer-reviewed

Reversible Data Hiding in Compressible Encrypted Images with Capacity Enhancement

Ryota Motomura, Shoko Imaizumi, Hitoshi Kiya

APSIPA Transactions on Signal and Information Processing, 12(1), Jul, 2023 Peer-reviewed

Effects of JPEG Compression on Vision Transformer Image Classification for Encryption-then-Compression Images.

Genki Hamano, Shoko Imaizumi, Hitoshi Kiya

Sensors, 23(7) 3400-3400, Apr, 2023 Peer-reviewed

Security Enhancement for Reversible Data Hiding for Palette-Based Images

Daichi Nakaya, Shoko Imaizumi

Bull. Soc. Photogr. Imag. Japan, 33(1) 1-6, Mar, 2023 Peer-reviewed

Effects of Data Hiding on Vision Transformer Classification for Encryption-then-Compression Images.

Kosuke Abe, Shoko Imaizumi, Hitoshi Kiya

GCCE, 787-789, 2023 Peer-reviewed

A Reversible Image Processing Method for Color Tone Control Using Data Hiding.

Daichi Nakaya, Shoko Imaizumi

APSIPA ASC, 599-604, 2023 Peer-reviewed

Privacy-Preserving Semantic Segmentation Using Vision Transformer

Hitoshi Kiya, Teru Nagamori, Shoko Imaizumi, Sayaka Shiota

Journal of Imaging, 8(9) 233-233, Aug, 2022 Peer-reviewed

A Reversible Image Processing Method with Selectable Functions.

Yuki Sugimoto, Shoko Imaizumi

International Symposium on Intelligent Signal Processing and Communication Systems(ISPACS), 1-4, 2022 Peer-reviewed

An Extension of High-Capacity Reversible Data Hiding in Encrypted Images with Bit-Plane Partition.

Eichi Arai, Shoko Imaizumi

IEEE International Conference on Consumer Electronics - Taiwan(ICCE-TW), 459-460, 2022 Peer-reviewed

A Reversible Data Hiding Method in Compressible Encrypted Domain for OpenEXR Images.

Noa Kikuchi, Shoko Imaizumi

11th IEEE Global Conference on Consumer Electronics(GCCE), 38-40, 2022 Peer-reviewed

High-Capacity Reversible Data Hiding in Encrypted Images with Flexible Restoration.

Eichi Arai, Shoko Imaizumi

Journal of Imaging, 8(7) 176-176, 2022 Peer-reviewed

An Extension of Reversible Image Enhancement Processing for Saturation and Brightness Contrast.

Yuki Sugimoto, Shoko Imaizumi

Journal of Imaging, 8(2) 27-27, 2022 Peer-reviewed

An Overview of Compressible and Learnable Image Transformation with Secret Key and its Applications

Hitoshi Kiya, April Pyone Maung Maung, Yuma Kinoshita, Shoko Imaizumi, Sayaka Shiota

APSIPA Transactions on Signal and Information Processing, 11(1), 2022 Peer-reviewed

Application of Reversible Data Hiding for Printing with Special Color Inks to Preserve Compatibility with Normal Printing

Kotoko Hiraoka, Kensuke Fukumoto, Takashi Yamazoe, Norimichi Tsumura, Satoshi Kaneko, Wataru Arai, Shoko Imaizumi

IEEJ Transactions on Electronics, Information and Systems, 141(2) 155-162, Feb, 2021 Peer-reviewedLast authorCorresponding author

Reversible Data Hiding Associated with Digital Halftoning That Allows Printing with Special Color Ink by Using Single Color Layer

Minagi Ueda, Shoko Imaizumi

IEEJ Transactions on Electronics, Information and Systems, 141(2), Feb, 2021 Peer-reviewed

An Extended PEE-HS Based method for reversible data hiding of depth images

Ueda, M., Matsuda, A., Yasukawa, I., Imaizumi, S.

IEEJ Transactions on Electronics, Information and Systems, 141(9) 1032-1038, 2021 Peer-reviewed

A Lossless Image Processing Method with Contrast and Saturation Enhancement.

Yuki Sugimoto, Shoko Imaizumi

23rd International Workshop on Multimedia Signal Processing(MMSP), 1-6, 2021 Peer-reviewed

An Extended Reversible Data Hiding Method for HDR Images Using Edge Estimation.

Minagi Ueda, Shoko Imaizumi, KokSheik Wong

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 1821-1827, 2021 Peer-reviewed

Papers

Menu

Coauthors