GPU implementation of JPEG XR

Ming-Chao Che; Jie Liang

doi:10.1117/12.846701

18 January 2010 GPU implementation of JPEG XR

Ming-Chao Che, Jie Liang

Proceedings Volume 7543, Visual Information Processing and Communication; 754309 (2010) https://doi.org/10.1117/12.846701
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

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.

Citation Download Citation

Ming-Chao Che and Jie Liang "GPU implementation of JPEG XR", Proc. SPIE 7543, Visual Information Processing and Communication, 754309 (18 January 2010); https://doi.org/10.1117/12.846701

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