Novel efficient architecture for JPEG2000 entropy coder

With the continual expansion of multimedia and Internet applications, the needs and requirements of advanced technologies, grew and evolved. With the increasing use of multimedia technologies, image compression techniques require higher performance as well as new features. Significant progress has recently been made in image compression techniques using discrete wavelet transforms. The overall performance of these schemes may be further improved by properly designing of efficient entropy coders. In this paper, we describe an efficient architecture for JPEG2000 entropy coder, which is a new standard to address the needs in the specific area of still image encoding. Our proposed architecture consists of two main parts, the coefficient bit modeler (CBM) and the binary arithmetic coder (BAC), which communicate through a FIFO buffer. Optimizations have been made in our proposed architecture to reduce accesses to memories. Our Proposed architecture is fast and modular and is suitable for real-time applications.