Lossless and Lossy Compression Techniques in Data Compression
2016 Views • Posted On Sept. 28, 2020
- 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.
- 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.
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