Lossy Compression: Quantising to Steps, Error & Signal-to-Noise Ratio
This lesson is part of the course
In this lesson
You round twelve brightness values to multiples of a step with MROUND, measure the error, rate the quality with a signal-to-noise ratio in decibels and work out how many bits per pixel the coarser values need.
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Lessons in this course
- Bits & Bytes of Text: Characters, Raw Size & a Fixed-Length Code Locked
- Run-Length Encoding: Runs in a Scan Line, Encoded Size & When RLE Backfires Locked
- Symbol Frequencies: Counting Symbols, Probabilities & Surprise Locked
- Entropy: −Σ p · log₂ p and the Minimum Bits per Symbol Locked
- Huffman Codes: Merging the Two Smallest Weights, Code Lengths & Average Bits Locked
- Ratios, Savings & Overhead: Compression Ratio, Base-64 Size and Headers Locked
- Lossy Compression: Quantising to Steps, Error & Signal-to-Noise Ratio Locked
- Capstone: Storage and Transfer Savings from Compression Ratios Locked