About
Contact & Profiles
A5051160626
Research Areas
- Sparse and Compressive Sensing Techniques
- Blind Source Separation Techniques
- Advanced Data Compression Techniques
- Photoacoustic and Ultrasonic Imaging
- Electrical and Bioimpedance Tomography
- Image Enhancement Techniques
- Analog and Mixed-Signal Circuit Design
Hosei University
2022-2024
Compressive Sensing (CS) surpasses the limitations of sampling theorem by reducing signal dimensions during sampling. Recent works integrate measurement coding into CS to enhance compression ratio. However, these significantly decrease image quality, and both encoding decoding become time-consuming. This paper proposes a based Image Codec with Partial Pre-calculation (CSCP) solve issues. The CSCP separates original reconstruction procedure two parts: reconstructing frequency domain data...
10.1109/tmm.2023.3327534
article
EN
IEEE Transactions on Multimedia
2023-10-26
10.1109/ijcnn60899.2024.10650162
article
EN
2022 International Joint Conference on Neural Networks (IJCNN)
2024-06-30
10.1109/ijcnn60899.2024.10650532
article
EN
2022 International Joint Conference on Neural Networks (IJCNN)
2024-06-30
Coming Soon ...