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Proceedings Paper

GPU implementation of JPEG XR
Author(s): Ming-Chao Che; Jie Liang
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Paper Abstract

JPEG XR (formerly Microsoft Windows Media Photo and HD Photo) is the latest image coding standard. By integrating various advanced technologies such as integer hierarchical lapped transform, context adaptive Huffman coding, and high dynamic range coding, it achieves competitive performance to JPEG-2000, but with lower computational complexity and memory requirement. In this paper, the GPU implementation of the JPEG XR codec using NVIDIA CUDA (Compute Unified Device Architecture) technology is investigated. Design considerations to speed up the algorithm are discussed, by taking full advantage of the properties of the CUDA framework and JPEG XR. Experimental results are presented to demonstrate the performance of the GPU implementation.

Paper Details

Date Published: 18 January 2010
PDF: 10 pages
Proc. SPIE 7543, Visual Information Processing and Communication, 754309 (18 January 2010); doi: 10.1117/12.846701
Show Author Affiliations
Ming-Chao Che, Simon Fraser Univ. (Canada)
Jie Liang, Simon Fraser Univ. (Canada)

Published in SPIE Proceedings Vol. 7543:
Visual Information Processing and Communication
Amir Said; Onur G. Guleryuz, Editor(s)

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