Exploring types of compression

• Lossless compression allows the original data to be perfectly reconstructed.


  True
• What are the key differences between lossless and lossy compression?

  Data loss vs. no loss
• Reasons why data compression is needed

  1️⃣ Saving storage space

  2️⃣ Reducing transmission time
• Reduced bandwidth requirements during transmission result in faster data transfers
• Lossy compression is suitable for executable files where data quality is critical.

  False
• What is the primary tradeoff of lossy compression?

  Reduced data quality
• Lossless compression is preferred for multimedia files where quality loss is acceptable.

  False
• In lossless compression, the original data can be perfectly reconstructed
• What is the primary principle behind run-length encoding?

  Replace identical sequences
• Dictionary coding replaces repeated patterns with references to a dictionary of previously seen patterns.


  True
• Data compression reduces the size of data to save storage space or reduce transmission time.
• For what type of files is lossless compression typically used?

  Executable files
• Compressed data requires less bandwidth to transmit, resulting in faster data transfers.

  True
• What is data compression used for?

  Saving storage or reducing transmission time
• In lossy compression, some data is permanently lost
• Lossy compression results in reduced quality but smaller file sizes.


  True
• Why is saving storage space important in data compression?

  Allows more data to be stored
• Match the compression type with its tradeoff:

  Lossless ↔️ Smaller file size reduction

  Lossy ↔️ Larger file size reduction
• What determines the choice between lossy and lossless compression?

  Data requirements
• Compressing data allows more data to be stored on a given storage medium
• Steps involved in compressing data using lossy compression

  1️⃣ Identify redundant data

  2️⃣ Remove redundant data

  3️⃣ Store compressed data
• What is the key difference between lossless and lossy compression?

  Ability to reconstruct data
• Lossy compression results in larger file size reduction at the cost of data quality.

  True
• Huffman coding assigns shorter codes to more frequent characters.
• What does predictive coding store in lossless compression?

  The difference between predicted and actual characters
• Lossy compression permanently removes some data to reduce file size.

  True
• Data compression is important for saving storage space and reducing transmission time.
• What is the tradeoff of lossless compression in terms of file size reduction?

  Smaller file size reduction
• What is the key difference between lossy and lossless compression?

  Reconstruction of original data
• Lossy compression permanently removes some data to achieve greater file size reduction.

  True
• Lossy compression is commonly used for multimedia files where some quality loss is acceptable
• Huffman coding assigns shorter codes to more frequent characters to reduce file size.


  True
• What does predictive coding store in lossless compression?

  Difference between predicted and actual character
• What does transform coding discard in lossy compression?

  High-frequency components
• Match the lossy compression technique with its example use case:

  Transform coding ↔️ Compressing images

  Predictive coding ↔️ Compressing audio

  Quantization ↔️ Rounding values to predefined levels
• Lossless compression ensures no loss of quality
• What type of data is lossy compression best suited for?

  Multimedia files
• Match the application with the appropriate compression type:

  Online gaming ↔️ Lossy and Lossless

  Multimedia files ↔️ Lossy

  Backup and archiving ↔️ Lossless
• In lossy compression, some data is permanently lost during compression.
• Lossless compression ensures the original data can be perfectly reconstructed