Efficient hardware implementation of 8 × 8 integer cosine transforms for multiple video codecs

Abstract

The current trend of digital convergence leads to the need of the video decoder that should support multiple video standards such as, H.264/AVC, JPEG, MPEG-2/4, VC-1, and AVS on a single platform. In this paper, we present a cost-sharing architecture of multiple transforms to support all five popular video codecs. The architecture is based on a new multi-dimensional delta mapping. Here the inverse transform matrix of the Discrete Cosine Transform (DCT) of AVS, that has the lowest computational unit, is taken as the base to compute the inverse DCT matrices of the other four codecs. The proposed architecture uses only adders and shifters on a shared basis to reduce the hardware cost significantly. The shared architecture is implemented on FPGA and later synthesized in CMOS 0.18 μm technology. The results show that the proposed design satisfies the requirement of all five codecs with a maximum decoding capability of 60 fps of a full HD video. The scheme is also suitable for low-cost implementation in modern multi-codec systems.