Which of the following is true of lossy and lossless compression algorithms?

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which of the following is true of lossy and lossless compression algorithms?

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which of the following is true of lossy and lossless compression algorithms?

Answer: Lossy and lossless compression algorithms are two different methods used to reduce the file size of digital data, particularly in the context of images, audio, and video. Here are the characteristics that are true of each:

Lossy Compression:

  1. Data Reduction: Lossy compression reduces file size by eliminating some data from the original file. It achieves higher compression ratios compared to lossless compression.
  2. Quality Loss: This type of compression results in a loss of some data, which can lead to a reduction in quality. The more the data is compressed, the greater the loss in quality.
  3. Use Cases: Lossy compression is often used for multimedia data like images, audio, and video, where a small loss in quality is acceptable in exchange for significant file size reduction.
  4. Examples: Common lossy compression formats include JPEG (for images) and MP3 (for audio).

Lossless Compression:

  1. Data Preservation: Lossless compression reduces file size without any loss of data quality. It retains all the original data when the file is decompressed.
  2. Quality Preservation: This compression method is suitable for situations where preserving the original data quality is essential.
  3. Use Cases: Lossless compression is commonly used for data types where quality and accuracy must be maintained, such as text documents, software executables, and medical images.
  4. Examples: Common lossless compression formats include ZIP (for files and folders), PNG (for images), and FLAC (for audio).

In summary, the main difference between lossy and lossless compression is whether or not data quality is preserved during the compression process. Lossy compression sacrifices some quality to achieve higher compression, while lossless compression retains all original data without any loss of quality. The choice between them depends on the specific requirements of the data and its intended use.