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Compression Algorithms - Coggle Diagram
Compression Algorithms
Losseless Compression
Lossless compression is a data compression method that reduces the size of a file without losing any information. This means that the original data can be perfectly reconstructed from the compressed data. Lossless compression algorithms typically identify and eliminate redundancy within the data, thereby reducing its size without altering its content. Examples of formats that use lossless compression include PNG for images and FLAC for audio.
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Lossy Compression
Lossy compression is a method of data compression where some data is permanently discarded to reduce the file size. This process typically involves removing redundant or less important information that the human sensory system may not easily perceive. While effective in significantly reducing file sizes, it results in a slight loss of quality compared to the original data. Common examples include JPEG for images and MP3 for audio.
Difference
The key difference between lossy and lossless compression lies in the preservation of data. Lossy compression sacrifices some data to achieve greater compression ratios, resulting in a smaller file size but a reduction in quality. Lossless compression, on the other hand, retains all original data, allowing for perfect reconstruction of the original file without any loss of quality. Therefore, the choice between lossy and lossless compression depends on whether preserving maximum quality or achieving maximum compression is more important for a particular application or use case.
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