Cards (65)

    • What is the primary goal of data compression?
      Reduce data size
    • One benefit of data compression is reducing the required storage space
    • Lossless compression techniques preserve all original data without any loss.
    • Match the compression type with its characteristic:
      Lossless Compression ↔️ Preserves all original data
      Lossy Compression ↔️ Removes non-essential data
    • Which compression technique is suitable for text documents and databases?
      Lossless Compression
    • Lossless compression typically has a lower compression ratio
    • Lossy compression is used for images, audio, and video where some data loss is acceptable.
    • What are two common methods used in lossless compression?
      RLE and Huffman Coding
    • An example of a lossy compression method is JPEG
    • Steps involved in Run-Length Encoding (RLE)
      1️⃣ Identify repeated sequences
      2️⃣ Replace sequence with instance and count
    • Run-Length Encoding (RLE) replaces sequences of repeated data with a single instance and a count.
    • What does Huffman Coding assign to frequently occurring data?
      Shorter codes
    • In RLE, the sequence "AAAAABBB" becomes "5A3B
    • What is the primary advantage of Huffman Coding over RLE?
      Variable-length codes
    • Huffman Coding assigns shorter codes to more frequent data, resulting in efficient compression.
    • Match the lossless compression technique with its description:
      Run-Length Encoding (RLE) ↔️ Replaces repeated sequences
      Huffman Coding ↔️ Assigns variable-length codes based on frequency
    • Discrete Cosine Transform (DCT) is used in JPEG
    • What is the key trade-off in lossy compression?
      Compression vs. quality
    • What does Huffman Coding assign shorter codes to?
      More frequent data
    • In Run-Length Encoding, the sequence "AAAAABBB" becomes 5A3B
    • Match the compression technique with its description:
      Run-Length Encoding (RLE) ↔️ Replaces repeated sequences
      Huffman Coding ↔️ Assigns variable-length codes based on frequency
    • Lossless compression is crucial for text documents and databases to maintain data integrity.
    • What is one common technique used in lossy compression for JPEG images?
      Discrete Cosine Transform (DCT)
    • In lossy compression, data loss is yes
    • Which compression type has a higher compression ratio: lossy or lossless?
      Lossy
    • Data compression reduces storage space and improves data transfer speeds.
    • Lossless compression results in no data loss.
    • Steps involved in Run-Length Encoding (RLE)
      1️⃣ Identify repeated sequences
      2️⃣ Replace each sequence with a count and character
    • What is an example of Huffman Coding for the text "HELLO"?
      L shortest, E next, H and O longer codes
    • Lossy compression achieves higher compression ratios by eliminating less important information
    • Lossy compression methods preserve all original data without any loss.
      False
    • For what type of data is lossless compression typically used?
      Text documents and databases
    • In lossy compression, some data is lost
    • What does data compression reduce data size by eliminating?
      Redundancies
    • Lossless compression preserves all original data
    • Lossy compression is used for text documents and databases.
      False
    • What type of data is lossy compression typically used for?
      Images, audio, and video
    • Arrange the features of lossless and lossy compression based on their characteristics:
      1️⃣ Data Loss: No data lost (lossless), Some data lost (lossy)
      2️⃣ Compression Ratio: Lower (lossless), Higher (lossy)
      3️⃣ Use Cases: Text documents, databases (lossless), Images, audio, video (lossy)
    • Lossless compression results in some data loss.
      False
    • What is the primary difference between lossless and lossy compression in terms of compression ratio?
      Lower for lossless, higher for lossy