FPGA-based Auxiliary Minutest MQ-coder architecture of JPEG2000

Abstract

Embedded Block Coding with Optimized Truncation (EBCOT) used in JPEG2000 standard performs the sequential processing of code blocks for clear images. The employment of Matrix Quantizer (MQ) in EBCOT reduces the computational burden by generating the context decision pair from probabilistic estimation. But, it consumes huge devices and occupies large memory space that leads to the difficulties in hardware design. The bit truncation in MQ-coder reduces the computational complexities that lead to a reduction in the memory space occupation in the hardware platform. This paper proposes the Auxiliary Minutest MQ (AMMQ) architecture for bit truncation in the probability estimation of context decision pair making. The reduction in a number of bits minimizes the slice registers and lookup tables utilization that offers less flip-flop consumption to achieve the compact chip development for JPEG2000 compression. Besides, the reduction in computational steps effectively minimizes the time delay and hence the high operating frequency. The comparative analysis of proposed AMMQ-coder architecture with the existing architectures regarding the memory assures the effectiveness of new way of bit truncation scheme in the JPEG2000 compression.