Journal
SIGNAL PROCESSING-IMAGE COMMUNICATION
Volume 99, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.image.2021.116503
Keywords
High throughput image and video coding; GPU; CUDA; JPEG2000; HTJ2K
Categories
Funding
- Spanish Ministry of Economy and Competitiveness [TIN2017-84553-C2-1-R, RTI2018-095287B-I00]
- European Regional Development Fund [TIN2017-84553-C2-1-R, RTI2018-095287B-I00]
- Catalan Government, Spain [2017SGR-463, 2017SGR-313]
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This paper presents a video codec that can process 16K video in real time with high throughput, and can trade off throughput for coding performance based on user's needs. Experimental results show that this method can double the throughput achieved by CPU implementations of High-Throughput JPEG2000 and HEVC on a GPU.
The advent of new technologies such as high dynamic range or 8K screens has enhanced the quality of digital images but it has also increased the codecs' computational demands to process such data. This paper presents a video codec that, while providing the same coding features and performance as those of JPEG2000, can process 16K video in real time using a consumer-grade GPU. This high throughput is achieved with a technique that introduces complexity scalability to a bitplane coding engine, which is the most computationally complex stage of the coding pipeline. The resulting codec can trade throughput for coding performance depending on the user's needs. Experimental results suggest that our method can double the throughput achieved by CPU implementations of the recently approved High-Throughput JPEG2000 and by hardwired implementations of HEVC in a GPU.
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