JPEG Image Compression
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JPEG Image Compression

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Questions and Answers

What is the primary difference between lossless and lossy compression?

  • The reversibility of the compressed data (correct)
  • The type of file that can be compressed
  • The level of redundancy in the original data
  • The speed of the compression algorithm
  • What is the drawback of using lossy compression on an image file?

  • Some of the original information is lost (correct)
  • The file size is increased
  • The image quality is preserved
  • The compression algorithm is slow
  • Which of the following is a characteristic of lossless compression?

  • Reversible compression (correct)
  • Loss of image quality
  • Permanent elimination of redundant information
  • Increased file size
  • What is the purpose of decompression in file compression?

    <p>To restore the original file from its compressed form</p> Signup and view all the answers

    Which type of compression is suitable for applications where data integrity is crucial?

    <p>Lossless compression</p> Signup and view all the answers

    What is run-length encoding?

    <p>A type of file compression algorithm</p> Signup and view all the answers

    What happens to the original information when a file is compressed using lossy compression?

    <p>It is permanently eliminated</p> Signup and view all the answers

    What is the advantage of using lossless compression on a digital file?

    <p>It preserves the original data</p> Signup and view all the answers

    What is the main difference between compression and decompression?

    <p>Compression reduces file size, while decompression increases file size</p> Signup and view all the answers

    What is the purpose of file compression?

    <p>To reduce the file size and/or change various attributes</p> Signup and view all the answers

    Study Notes

    Image Compression Techniques

    • JPEG image files are commonly used for photographs and complex still images on the web with no transparency.
    • JPEG compression uses lossy compression, allowing the creator to decide how much loss to introduce and balance between file size and image quality.

    Algorithms for Compression

    • Lossless compression algorithms:
      • Run Length Encoding
      • Lempel-Ziv-Welch (LZW)
      • Huffman Coding
      • Arithmetic Encoding
    • Lossy compression algorithms:
      • Transform Coding
      • Discrete Cosine Transform
      • Discrete Wavelet Transform
      • Fractal Compression

    Advantages and Drawbacks of Lossless Compression

    • Key benefit: retain file quality while achieving smaller file size.
    • Drawback: larger file sizes required to maintain post-compression quality.

    Characteristics of Lossy Compression

    • Removes unnecessary data, not restored after decompression.
    • Known as irreversible compression.
    • Data loss is not usually noticeable, but increases with compression.

    Applications of Lossless and Lossy Compression

    • Lossless compression is mainly used for:
      • images
      • sound
      • text
      • detailed product images, photography showcases, text files, and spreadsheet files.
    • Lossy compression is mainly used for:
      • images
      • audio
      • video
      • audio and video files where some information loss is acceptable.

    Definition of Lossless and Lossy Compression

    • Lossless compression: every bit of original data remains after decompression.
    • Lossy compression: reduces file by permanently eliminating certain information, restoring some data after decompression.

    File Compression

    • Digital files are compressed to reduce size and/or change attributes (file type, dimensions, resolution, bit depth).
    • Compression reduces file size, often with minimal loss of information.
    • Can be either lossless or lossy.

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    Description

    Learn about the JPEG image file format, its use of lossy compression, and the trade-off between file size and image quality. Understand how algorithms can be adjusted to balance compression ratio and image quality.

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