Low cost design of a hybrid architecture of integer inverse DCT for H.264, VC-1, AVS, and HEVC

Authors:
Muhammad Martuza;Khan A. Wahid
Affiliations:
Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada;Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada
Venue:
VLSI Design - Special issue on VLSI Circuits, Systems, and Architectures for Advanced Image and Video Compression Standards
Year:
2012

Citing 5
Cited 0

Implementations of Low-Cost Hardware Sharing Architectures for Fast 8 × 8 and 4 × 4 Integer Transforms in H.264/AVC

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A Highly Parallel Joint VLSI Architecture for Transforms in H.264/AVC

Journal of Signal Processing Systems
Fast algorithm and low-cost hardware-sharing design of multiple integer transforms for VC-1

IEEE Transactions on Circuits and Systems II: Express Briefs
A low-cost very large scale integration architecture for multistandard inverse transform

IEEE Transactions on Circuits and Systems II: Express Briefs
High Performance, Low Complexity Video Coding and the Emerging HEVC Standard

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper presents a unified hybrid architecture to compute the 8 × 8 integer inverse discrete cosine transform (IDCT) of multiple modern video codecs--AVS, H.264/AVC, VC-1, and HEVC (under development). Based on the symmetric structure of the matrices and the similarity in matrix operation, we develop a generalized "decompose and share" algorithm to compute the 8 × 8 IDCT. The algorithm is later applied to four video standards. The hardware-share approach ensures the maximum circuit reuse during the computation. The architecture is designed with only adders and shifters to reduce the hardware cost significantly. The design is implemented on FPGA and later synthesized in CMOS 0.18 um technology. The results meet the requirements of advanced video coding applications.