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Conference Paper CUDA-Based JPEG2000 Encoding Scheme
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Authors
Jeong-Woo LEE, Bumho KIM, Ki-Song YOON
Issue Date
2014-02
Citation
International Conference on Advanced Communication Technology (ICACT) 2014, pp.671-674
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICACT.2014.6779047
Abstract
JPEG2000 is the international standard for image compression. The rich feature set and the state of the art image compression performance make JPEG2000 an attractive alternative for many applications. Especially JPEG2000 is used in the area for digital cinema and medical image. Although the JPEG2000 provides high compression rates and error tolerance, it is burden for both encoding and decoding. To improve the performance, a parallel computing architecture called CUDA has been receiving a lot of attention recently. In this paper, we attempt to realize a real-time JPEG2000 encoding scheme by using GPUs. We present CUDA algorithms that perform DCDM decomposition, multi-component transform, 2D discrete wavelet transform, and quantization completely on a CUDA device, which brings us significant performance gain on a general CPU without extra cost. In addition, we present CUDA algorithm for performing the color conversion from RGB to XYZ. © 2014 Global IT Research Institute (GIRI).
KSP Keywords
2D discrete wavelet transform(2D-DWT), Compression performance, Digital cinema, Discrete wavelet transform(DWT-EE), Encoding and decoding, Extra cost, High compression, International standards, Medical Image, Multi-component, Parallel computing architecture