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

Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Nanosurface Engineering of Bare Metallic Coronary Stents for Combating In-Stent Restenosis
Nanosurface Engineering of Bare Metallic Coronary Stents for Combating In-Stent Restenosis
Plasma Surface Modification of Nanostructured Surfaces of Marine Based Scaffolds and Membranes for Enhanced Bioactivity
Plasma Surface Modification of Nanostructured Surfaces of Marine Based Scaffolds and Membranes for Enhanced Bioactivity
Studies on Binding of Probiotic Strains to Host Extracellular Matrix Protein, Gelatin and Analysis of its Stability with Different Substrates
Studies on Binding of Probiotic Strains to Host Extracellular Matrix Protein, Gelatin and Analysis of its Stability with Different Substrates
Material Composition and Fabrication of Plastic Bricks
Material Composition and Fabrication of Plastic Bricks
Admissions Apply Now