상세정보
학술대회
GPU-Based JPEG2000 Decoding Scheme for Digital Cinema
- 발행일
- 201402
- 출처
- International Conference on Advanced Communication Technology (ICACT) 2014, pp.601-604
- 협약과제
- 13VT1300, 8K급 고해상도 영상 콘텐츠 서비스를 위한 계층구조기반의 고압축, 저손실 콘텐츠 제작/유통/상영 기술개발, 윤기송
- 초록
- For the digital cinema system specification released by Digital Cinema Initiatives, it was decided to use 2K or 4K images encoded by the JPEG2000 standard. JPEG2000 provides high compression rates and error tolerance, but it is a burden for both encoding and decoding. To improve the decoding 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 decoding scheme for digital cinema using multiple CPU cores and GPUs. We present CUDA algorithms that perform inverse quantization, inverse 2D discrete wavelet transform and inverse irreversible color transform on a CUDA device, which brings us significant performance gain on a general CPU without extra cost. © 2014 Global IT Research Institute (GIRI).
- KSP 제안 키워드
- 2D discrete wavelet transform, Digital cinema, Discrete wavelet transform(DWT-EE), Encoding and decoding, Error tolerance, Extra cost, GPU-based, High compression, Parallel computing architecture, Performance gain, Real-Time