Back close

Remote Sensing – Learned Image Compression

Project Incharge:Dr. Akshara P. Byju
Remote Sensing – Learned Image Compression

Image compression is an important and fundamental research topic in the field of signal processing for many decades to achieve efficient image transmission and storage. Modern approaches on image compression apply deep learning on this task, i.e. learned image compression.

Related Projects

Energy Management on Smart Grid using Embedded Systems
Energy Management on Smart Grid using Embedded Systems
A Machine Learning Approach for Early Prediction of Blood Culture Positivity in Neutropenia Patients Using Medical History and Hematological Parameters
A Machine Learning Approach for Early Prediction of Blood Culture Positivity in Neutropenia Patients Using Medical History and Hematological Parameters
Integrated Internet of Things (IoT) for real time monitoring and detection of Landslides
Integrated Internet of Things (IoT) for real time monitoring and detection of Landslides
Prototype Design of Low-Cost Biomass to Liquid Fuel System
Prototype Design of Low-Cost Biomass to Liquid Fuel System
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Admissions Apply Now