Universitat Autònoma de Barcelona
2021
Altres ajuts: acords transformatius de la UAB
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.
Article
English
High throughput image and video coding; GPU; CUDA; JPEG2000; HTJ2K
Agencia Estatal de Investigación TIN2017-84553-C2-1-R
Agencia Estatal de Investigación RTI2018-095287-B-I00
Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-313
Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-463
Signal Processing: Image Communication ; Vol. 99 (November 2021), art. 116503
open access
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
https://creativecommons.org/licenses/by-nc-nd/4.0/
