Lossless and Lossy Compression Techniques in Data Compression
549 Views • Posted On Sept. 28, 2020
Lossless Compression
- In Lossless Compression, the redundant information contained in the data is removed.
- Due to the removal of such information, there is no loss of the data of interest. Hence it is called lossless compression.
- Lossless compression is also known as Data Compaction.
- Lossless compression techniques, as their name implies, involve no loss of information.
- If the data has been losslessly compressed, the original data can be recovered exactly from the compressed data.
- Lossless compression is generally used for applications that cannot tolerate any difference between original and reconstructed data.
- Text compression is an important area for lossless compression.
- The reconstruction must be identical to the original text, as very small differences can result in statements with very different meanings.
Lossy Compression
- In this type of compression, there is a loss of information in a controlled manner.
- The lossy compression is therefore not completely reversible.
- But the advantage of this type is higher compression ratios than the lossless compression.
- The lossless compression is used for digital data.
- For many applications, lossy compression is preferred due to its higher conversion without a significant loss of important information.
- For digital audio and video applications, we need a standard compression algorithm.
- Lossy compression techniques involve some loss of information and data that has been compressed using lossy techniques generally can be recovered or reconstructed exactly.
- In return for accepting this distortion in the reconstruction, we can generally obtain much higher compression ratios than is possible with lossless compression.
Share this tutorial with someone who needs it
Most Popular Tutorials in Data Science
Most Popular Tutorials on Asquero
What are your thoughts?