What is arithmetic coding?
Arithmetic coding is a form of entropy encoding used in lossless data compression. It works by representing a message with a single floating-point number in the interval [0, 1]. The algorithm updates this interval for each symbol based on their probabilities.
Advantages of arithmetic coding:
- Higher compression efficiency compared to other entropy encoding methods like Huffman coding.
- Handles symbols with non-integer probabilities more effectively.
- Allows for adaptive probability modeling.
Disadvantages of arithmetic coding:
- Requires precise arithmetic operations, which can lead to numerical stability issues.
- Complexity in implementation and decoding compared to simpler techniques like Huffman coding.
Lossy and Lossless Data Compression
-Lossless data compression retains all the original data after compression and decompression, ensuring that there is no loss of information.
-Lossy data compression sacrifices some data to achieve higher compression ratios, resulting in a loss of quality. Lossy compression is typically used for multimedia data like images, audio and video where a certain degree of quality loss is acceptable.
What are the Various measures of performance of data compression algorithms :
- Compression ratio
- Compression speed
- Decompression speed
- Complexity of algorithm
- Quality of decompressed data
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