VLSI Design Based on Block Truncation Coding for Real-Time Color Image Compression for IoT

• Main Authors: Chen, Shih Lun, Chou, He Sheng, Ke, Shih Yao, Chen, Chiung An, Chen, Tsung Yi, Chan, Mei Ling, Abu, Patricia Angela R., Wang, Liang Hung, Li, Kuo Chen
• Format: text
• Published: Archīum Ateneo 2023
• Subjects: bit map; block truncation coding; color sampling; Golomb–Rice coding; image compression; image sensor; IoT; machine learning; YEF color space; Biomedical; Computer Engineering; Electrical and Computer Engineering; Engineering
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/402; https://drive.google.com/file/d/1vs1cTlEgyqs9NUhdeQVcigR_UJISMsex/view?usp=sharing
• Institution: Ateneo De Manila University

It has always been a major issue for a hospital to acquire real-time information about a patient in emergency situations. Because of this, this research presents a novel high-compression-ratio and real-time-process image compression very-large-scale integration (VLSI) design for image sensors in the...