Title :
A Hardware Architecture for Better Portable Graphics (BPG) Compression Encoder
Author :
Umar Albalawi;Saraju P. Mohanty;Elias Kougianos
Author_Institution :
Comput. Sci. &
Abstract :
This paper proposes a hardware architecture for the newly introduced Better Portable Graphics (BPG) compression algorithm. Since its introduction in 1987, the Joint Photographic Experts Group (JPEG) graphics format has been the de facto choice for image compression. However, the new compression technique BPG outperforms JPEG in terms of compression quality and size of the compressed file. The objective of this paper is to present a hardware architecture for enhanced real time compression of the image. The complexity of the BPG encoder library is reduced by using hardware compression wherever possible over software compression because of the real time requirements, possibly in embedded systems with low latency requirements. BPG compression is based on the High Efficiency Video Coding (HEVC), which is considered a major advance in compression techniques. In this paper, only image compression is considered. The proposed architecture is prototyped in Matlab®/Simulink®. The experimental results prove that the visual quality of BPG compression is higher than that of JPEG with equal or reduced file size. To the best of the authors´ knowledge, this is the first ever proposed hardware architecture for BPG compression.
Keywords :
"Image coding","Hardware","Computer architecture","Image color analysis","Transform coding","Encoding","Software packages"
Conference_Titel :
Nanoelectronic and Information Systems (iNIS), 2015 IEEE International Symposium on
DOI :
10.1109/iNIS.2015.12