GPU-specific reformulations of image compression algorithms

Jiří Matela; Petr Holub; Martin Jirman; Martin Šrom

doi:10.1117/12.929971

15 October 2012 GPU-specific reformulations of image compression algorithms

Jiří Matela, Petr Holub, Martin Jirman, Martin Šrom

Proceedings Volume 8499, Applications of Digital Image Processing XXXV; 849916 (2012) https://doi.org/10.1117/12.929971
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

Image compression has a number of applications in various fields, where processing throughput and/or latency is a crucial attribute and the main limitation of state-of-the-art implementations of compression algorithms. At the same time contemporary GPU platforms provide tremendous processing power but they call for specific algorithm design. We discuss key components of successful design of compression algorithms for GPUs and demonstrate this on JPEG and JPEG2000 implementations, each of which contains several types of algorithms requiring different approaches to efficient parallelization for GPUs. Performance evaluation of the optimized JPEG and JPEG2000 chain is used to demonstrate the importance of various aspects of GPU programming, especially with respect to real-time applications.

Citation Download Citation

Jiří Matela, Petr Holub, Martin Jirman, and Martin Šrom "GPU-specific reformulations of image compression algorithms", Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 849916 (15 October 2012); https://doi.org/10.1117/12.929971

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