New customers can spin up VMs, build with AI, and query data at no cost.
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start Free
MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Simple, fast implementation of LZW (Lempel–Ziv–Welch) data compression algorithm in C.
- Console encoder/decoder tools
- OS independent
- Could be used in embedded projects
- Works with raw code-stream
LZW features:
- Hardcoded dictionary size
- Variable code size
- Code search is performed by hash table and embedded in dictionary linked lists (encoder)
- No dynamic memory allocation
...Try this project, I hope it can make a banlance between caculation and bandwidth.
But first of all, you should know that the compression ratio of RLE is highly depend on the bitmap
file data, the ratio can larger than 1, only when the same color continuously repeats in one line,
it will gain a smaller compression ratio.