Computer Science › Section B · Data storage › Topic B.9
Data compression
Raw images, sound and video take far more bits than storage and networks can comfortably carry. Compression shrinks them by exploiting patterns in the data, or by discarding detail that people will not notice.
In this topic
- Lossless and lossy
- Run-length encoding
- Frequency-dependent codes
- Worked example: a Huffman code
- Relative encoding
- Dictionary encoding
- Worked example: LZW
- Compressing images
- Compressing sound and video
- Common mistakes to avoid
- Key takeaways
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