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Everything about Lossless compression

Data compression approach allowing perfect reconstruction of the original data

Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. By contrast, lossy compression permits reconstruction only of an approximation of the original data, though usually with greatly improved compression rates. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Lossless compressionA 5-minute orientation
  2. Skim a recent paper: Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image CompressionInfluential work since 2022
  3. Pick up a classic book: Digital signal compressionThe most-reprinted book on the subject
  4. Read the landmark paper: The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LSCited 1,269 times
  5. Go sideways: Data compressionA closely related topic
  6. Go sideways: Lossy compressionA closely related topic

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  1. Techniques
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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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