The Asymmetric Numeral System (ANS) is a new entropy compression method that the
industry has highly valued in recent years. ANS is valued by the industry precisely because …

This paper proposes a new lossless data compression coding scheme named an
asymmetric encoding-decoding scheme (AEDS), which can be considered as a …

An entropy coder takes as input a sequence of symbol identifiers over some specified
alphabet and represents that sequence as a bitstring using as few bits as possible, typically …

Source coding has a rich and long history. However, a recent explosion of multimedia
Internet applications (such as teleconferencing and video streaming, for instance) renews …

Data storage is an indispensable part of data management system. Asymmetric numeral
systems (ANS) is a widely used compression algorithm. A number of implementations, such …

The Asymmetric Numeral Systems (ANS) is a class of entropy encoders by Duda that had an
immense impact on the data compression, substituting arithmetic and Huffman coding. The …

In this thesis, a minimum redundant prefix coding with higher compression ratio and lower
time complexity is proposed for lossless compression of HD images. The compression …

Reversible data hiding (RDH) has been extensively studied in the field of information
security. In our previous work [1], an explicit implementation approaching the rate-distortion …

Asymmetric Numeral Systems (ANS) proposed by Jarek Duda are high-performance
distortionless data compression schemes that can achieve almost the same compression …

The necessity of radix conversion of numeric data is an indispensable component in any
complete analysis of digital computation. In this paper, we propose a binary encoding for …