Abstract
Current Huffman coding modes are optimal for a single metric: compression ratio (quality) or rate (performance). We recognize that real life data can usually be classified to families of data types and thus the Huffman dictionary can be reused instead of recalculated. In this paper, we show how to balance the trade-off between compression ratio and rate, without modifying existing standards and legacy decompression implementations.
Full Text
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call