Lossy Compression: Quantising to Steps, Error & Signal-to-Noise Ratio
This lesson is part of the course
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Lessons in this course
- Bits & Bytes of Text: Characters, Raw Size & a Fixed-Length Code Pro
- Run-Length Encoding: Runs in a Scan Line, Encoded Size & When RLE Backfires Pro
- Symbol Frequencies: Counting Symbols, Probabilities & Surprise Pro
- Entropy: −Σ p · log₂ p and the Minimum Bits per Symbol Pro
- Huffman Codes: Merging the Two Smallest Weights, Code Lengths & Average Bits Pro
- Ratios, Savings & Overhead: Compression Ratio, Base-64 Size and Headers Pro
- Lossy Compression: Quantising to Steps, Error & Signal-to-Noise Ratio Pro
- Capstone: Storage and Transfer Savings from Compression Ratios Pro