• Debjit Banerjee
• Soham Maity
• Aniket Kar
• Pritam Adhikary
• Sabyasachi Samanta

Arithmetic coding is a pivotal technique in data compression, providing efficiency and versatility superior to traditional Huffman coding. This paper delves into advanced arithmetic coding exploring its enhanced algorithms, optimizations, and applications in modern computing. We begin by examining the fundamentals of arithmetic coding, highlighting its core mechanism which encodes entire messages into a single number within the interval [0,1]. This approach allows for incremental updates of probability models, making it particularly suitable for adaptive contexts where symbol probabilities are not known a priori. It progresses to advanced techniques that optimize arithmetic coding's performance. We discuss methods such as adaptive probability estimation, which dynamically adjusts symbol probabilities during encoding and decoding, thus improving compression rates for non-static data sources. Using this method we can encode more number of charters using different groups and sub groups. Furthermore, we explore the use of context-based models, where the probability of each symbol is conditioned on the preceding symbols, leading to more accurate modelling of the data source.

Arithmetic Coding, Data Compression, Adaptive Probability Estimation, Context-Based Models, High-Precision Arithmetic, Bitstream Handling

"AN INTRODUCTION TO ADVANCED ARITHMETIC CODING BASED ENCRYPTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.h233-h238, June-2024, Available :http://www.jetir.org/papers/JETIR2406725.pdf

"AN INTRODUCTION TO ADVANCED ARITHMETIC CODING BASED ENCRYPTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pph233-h238, June-2024, Available at : http://www.jetir.org/papers/JETIR2406725.pdf