A1.1.8 questions

Transform coding

A lossy technique that converts data into a frequency-based format and removes high-frequency details.

Run length coding (RLE)

A lossless technique that replaces consecutive repeating occurrences of a symbol with a single instance followed by a count.

Huffman coding

A lossless compression method that assigns short binary codes to more common symbols.

Difference in data integrity between lossy and lossless compression

Lossless compression preserves original data, while lossy compression discards some data.

Applications of lossy compression

Ideal for multimedia formats like images, audio, and video.

Lossy compression

Reduces file size by discarding some data that is less noticeable.

Data restoration in lossless compression

Achieved by identifying and eliminating redundant patterns without losing any information.

Lossless compression

Allows the original data to be perfectly reconstructed from the compressed version.

Importance of compression in modern computing

Enables faster data transfer, reduced storage costs, and optimised performance.

Compression

The process of reducing the size of a data file to save storage space and improve transmission efficiency.

Ideal use of lossless compression

For critical data where preservation of data quality is essential.

Why does compression matter?

Storage efficiency, faster transmission, resource optimisation.