GPU-Oriented Architecture for an End-to-End Image/Video Codec Based on JPEG2000
Modern image and video compression standards employ computationally intensive algorithms that provide advanced features to the coding system. Current standards often need to be implemented in hardware or using expensive solutions to meet the real-time requirements of some environments. Contrarily to...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9057501/ |
| _version_ | 1818732133593645056 |
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| author | Carlos De Cea-Dominguez Juan C. Moure-Lopez Joan Bartrina-Rapesta Francesc Auli-Llinas |
| author_facet | Carlos De Cea-Dominguez Juan C. Moure-Lopez Joan Bartrina-Rapesta Francesc Auli-Llinas |
| author_sort | Carlos De Cea-Dominguez |
| collection | DOAJ |
| description | Modern image and video compression standards employ computationally intensive algorithms that provide advanced features to the coding system. Current standards often need to be implemented in hardware or using expensive solutions to meet the real-time requirements of some environments. Contrarily to this trend, this paper proposes an end-to-end codec architecture running on inexpensive Graphics Processing Units (GPUs) that is based on, though not compatible with, the JPEG2000 international standard for image and video compression. When executed in a commodity Nvidia GPU, it achieves real time processing of 12K video. The proposed S/W architecture utilizes four CUDA kernels that minimize memory transfers, use registers instead of shared memory, and employ a double-buffer strategy to optimize the streaming of data. The analysis of throughput indicates that the proposed codec yields results at least 10× superior on average to those achieved with JPEG2000 implementations devised for CPUs, and approximately 4× superior to those achieved with hardwired solutions of the HEVC/H.265 video compression standard. |
| first_indexed | 2024-12-17T23:28:44Z |
| format | Article |
| id | doaj.art-5b5e165dc892416cb1c36fe1cb76c39b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T23:28:44Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5b5e165dc892416cb1c36fe1cb76c39b2022-12-21T21:28:43ZengIEEEIEEE Access2169-35362020-01-018684746848710.1109/ACCESS.2020.29858599057501GPU-Oriented Architecture for an End-to-End Image/Video Codec Based on JPEG2000Carlos De Cea-Dominguez0https://orcid.org/0000-0001-6697-0331Juan C. Moure-Lopez1Joan Bartrina-Rapesta2https://orcid.org/0000-0002-1551-3680Francesc Auli-Llinas3https://orcid.org/0000-0002-3208-9957Department of Information and Communications Engineering, Universitat Autònoma de Barcelona, Barcelona, SpainDepartment of Computer Architecture and Operating Systems, Universitat Autònoma de Barcelona, Barcelona, SpainDepartment of Information and Communications Engineering, Universitat Autònoma de Barcelona, Barcelona, SpainDepartment of Information and Communications Engineering, Universitat Autònoma de Barcelona, Barcelona, SpainModern image and video compression standards employ computationally intensive algorithms that provide advanced features to the coding system. Current standards often need to be implemented in hardware or using expensive solutions to meet the real-time requirements of some environments. Contrarily to this trend, this paper proposes an end-to-end codec architecture running on inexpensive Graphics Processing Units (GPUs) that is based on, though not compatible with, the JPEG2000 international standard for image and video compression. When executed in a commodity Nvidia GPU, it achieves real time processing of 12K video. The proposed S/W architecture utilizes four CUDA kernels that minimize memory transfers, use registers instead of shared memory, and employ a double-buffer strategy to optimize the streaming of data. The analysis of throughput indicates that the proposed codec yields results at least 10× superior on average to those achieved with JPEG2000 implementations devised for CPUs, and approximately 4× superior to those achieved with hardwired solutions of the HEVC/H.265 video compression standard.https://ieeexplore.ieee.org/document/9057501/Wavelet-based image codinghigh-throughput image codingJPEG2000GPUCUDA |
| spellingShingle | Carlos De Cea-Dominguez Juan C. Moure-Lopez Joan Bartrina-Rapesta Francesc Auli-Llinas GPU-Oriented Architecture for an End-to-End Image/Video Codec Based on JPEG2000 IEEE Access Wavelet-based image coding high-throughput image coding JPEG2000 GPU CUDA |
| title | GPU-Oriented Architecture for an End-to-End Image/Video Codec Based on JPEG2000 |
| title_full | GPU-Oriented Architecture for an End-to-End Image/Video Codec Based on JPEG2000 |
| title_fullStr | GPU-Oriented Architecture for an End-to-End Image/Video Codec Based on JPEG2000 |
| title_full_unstemmed | GPU-Oriented Architecture for an End-to-End Image/Video Codec Based on JPEG2000 |
| title_short | GPU-Oriented Architecture for an End-to-End Image/Video Codec Based on JPEG2000 |
| title_sort | gpu oriented architecture for an end to end image video codec based on jpeg2000 |
| topic | Wavelet-based image coding high-throughput image coding JPEG2000 GPU CUDA |
| url | https://ieeexplore.ieee.org/document/9057501/ |
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