@inproceedings{b89c852291f744d199f69a43b357e915,
title = "A Parallel Strategies for 2-D Lifting Wavelet Transform Using GPU",
abstract = "Lifting Wavelet Transform has a huge number of applications in image-processing techniques, it has been applied in field like image compression, fusion, de-noising, et al, but for large scale image, the algorithm is too slow to meet the real-time requirements. To solve this problem, this work proposed a parallel strategy based on GPU for 2-D lifting wavelet transform. Through the performance test and analysis, the proposed lifting scheme achieve considerable speedups compared with CPU version for the same image size.",
keywords = "CUDA, GPU, image processing, lifting wavelet, parallel computation",
author = "Lei Wang and Hongying Liu and Li Sun and Mei Zhou and Quanjie Zhuang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019 ; Conference date: 19-10-2019 Through 21-10-2019",
year = "2019",
month = oct,
doi = "10.1109/CISP-BMEI48845.2019.8965965",
language = "英语",
series = "Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Qingli Li and Lipo Wang",
booktitle = "Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019",
address = "美国",
}