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

Furfuryl Derivatives of Meldrum’s Acid: Synthesis, Characterisation and Biological Studies
Furfuryl Derivatives of Meldrum’s Acid: Synthesis, Characterisation and Biological Studies
Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Large Magnetoresistance Electrodeposited Bismuth Films for Low Magnetic Field Sensing
Hybrid Solar and Archimedes Spiral Wind Turbine Tree for Microgrid
Hybrid Solar and Archimedes Spiral Wind Turbine Tree for Microgrid
Further Development of a Software Library to Convert Orthographic Views to a 3D Model for AutoPilot3D
Further Development of a Software Library to Convert Orthographic Views to a 3D Model for AutoPilot3D
Identification of Genomic Rearrangements across Organisms Leading to Evolutionary Insights
Identification of Genomic Rearrangements across Organisms Leading to Evolutionary Insights
Admissions Apply Now