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학술대회 CUDA-Based JPEG2000 Encoding Scheme
Cited 6 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
이정우, 김범호, 윤기송
발행일
201402
출처
International Conference on Advanced Communication Technology (ICACT) 2014, pp.671-674
DOI
https://dx.doi.org/10.1109/ICACT.2014.6779047
협약과제
13VT1300, 8K급 고해상도 영상 콘텐츠 서비스를 위한 계층구조기반의 고압축, 저손실 콘텐츠 제작/유통/상영 기술개발, 윤기송
초록
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 제안 키워드
2D discrete wavelet transform, Compression performance, Digital cinema, Discrete wavelet transform(DWT-EE), Encoding and decoding, Error tolerance, Extra cost, Feature set, High compression, Image Compression, International standard