

Compression
10 snips Oct 23, 2023
Dive deep into the fascinating world of compression algorithms, where squishing bits isn't just a concept—it's essential technology! Discover the balance between CPU usage and storage efficiency, and unravel the complexity behind compression ratios. Explore lossless techniques and learn about run-length encoding. Delve into the artistry of Huffman encoding and the Burroughs-Wheeler transform. Finally, unpack popular compression libraries like Zopfli, highlighting their strengths and the latest trends in image formats.
AI Snips
Chapters
Transcript
Episode notes
Compression Trade-off
- Compression trades CPU time for less storage space or bytes.
- This is useful for network transfers or limited storage contexts.
Compression Considerations
- When discussing compression, consider the compression ratio, time, and decompression time.
- Be mindful of what the numerator and denominator represent when discussing ratios.
Decoder Size Matters
- Matt encountered good compression on 8-bit machines, but the decoder size was too large.
- This highlights the importance of decoder size in embedded systems with limited resources.