JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures
JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures
Enhanced Renormalization Algorithm in MQ-Coder of JPEG2000
ISITC '07 Proceedings of the 2007 International Symposium on Information Technology Convergence
A high performance MQ encoder architecture in JPEG2000
Integration, the VLSI Journal
Parallel variable-length encoding on GPGPUs
Euro-Par'09 Proceedings of the 2009 international conference on Parallel processing
Efficient JPEG2000 EBCOT Context Modeling for Massively Parallel Architectures
DCC '11 Proceedings of the 2011 Data Compression Conference
A novel parallel Tier-1 coder for JPEG2000 using GPUs
SASP '11 Proceedings of the 2011 IEEE 9th Symposium on Application Specific Processors
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Analysis and architecture design of block-coding engine for EBCOT in JPEG 2000
IEEE Transactions on Circuits and Systems for Video Technology
Optimization of Arithmetic Coding for JPEG2000
IEEE Transactions on Circuits and Systems for Video Technology
Future Generation Computer Systems
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Arithmetic coding, and especially adaptive MQ-Coding of JPEG2000, is a serial process, which does not match specifics of GPUs as massively parallel processors well. In this paper we study and evaluate several approaches to acceleration of the MQ-Coding using commodity GPU hardware, including our proposal of a new enhanced renormalization procedure. We conclude with a "low occupancy approach" and 5.6---16× average speedup when compared to the state of the art multi-threaded CPU implementations.