Yuki Sugimoto and Shoko Imaizumi,
“A Reversible Image Processing Method with Selectable Functions,”
inProc. of IEEE International Symposium on Intelligent Signal Processing and Communication Systems, 4 pages, Penang, Malaysia (online), 24th November, 2022.
Genki Hamano, Shoko Imaizumi, and Hitoshi Kiya,
“Image Classification Using Vision Transformer for EtC Images,”
inProc. of APSIPA Annual Summit and Conference, pp.1506-1513, Chiang Mai, Thailand (online), 10th November, 2022.
Noa Kikuchi and Shoko Imaizumi,
“A reversible Data Hiding Method in Compressible Encrypted Domain for OpenEXR Images,”
inProc. of IEEE Global Conference on Consumer Electronics, pp.38-40, Osaka, Japan, 18th October, 2022.
Ryota Motomura, Shoko Imaizumi, and Hitoshi Kiya,
“A Reversible Data Hiding Method with Prediction-Error Expansion in Compressible Encrypted Images,”
Appl. Sci., vol.12, no.9418, September 2022.
Hitoshi Kiya, Teru Nagamori, Shoko Imaizumi, and Sayaka Shiota,
“Privacy-Preserving Semantic Segmentation Using Vision Transformer,”
J. Imaging, vol.8, no.233, August 2022.
Eichi Arai and Shoko Imaizumi,
“An Extension of High-Capacity Reversible Data Hiding in Encrypted Images with Bit-Plane Partition,”
inProc. of IEEE International Conference on Consumer Electronics – Taiwan, pp.459-460, Taipei, Taiwan, R.O.C. (online), 8th July, 2022.
Eichi Arai and Shoko Imaizumi,
“High-Capacity Reversible Data Hiding in Encrypted Images with Flexible Restoration,”
J. Imaging, vol.8, no.176, June 2022.
Hitoshi Kiya, April Pyone Maung Maung, Yuma Kinoshita, Shoko Imaizumi, and Sayaka Shiota,
“An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications,”
APSIPA Trans. Signal Inf. Process., vol.11, no.1, May 2022.
Yuki Sugimoto and Shoko Imaizumi,
“An Extension of Reversible Image Enhancement Processing for Saturation and Brightness Contrast,”
J. Imaging, vol.8, no.27, January 2022.