Georeferenced image databases use a lot of space when stored in raw format. Compressed images require a valuable processing power when read in onboard computers in civilian and military vehicles and aircraft. CADRG standard was created to solve both problems and requires an image compressed using vectorial quantization and color palette. This is an open source implementation to compress an image with the parameters specified in the CADRG standard.

Project Activity

See All Activity >

Follow vvq: image compression for CADRG in C++

vvq: image compression for CADRG in C++ Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of vvq: image compression for CADRG in C++!

Additional Project Details

Registered

2015-06-22