Efficient Architectures for Planar and DC modes of Intra Prediction in HEVC

Abstract

High efficiency video coding (HEVC) handles the ever increasing global video content with better compression efficiency. Complex partition and increased number of angular modes in intra prediction is one of the factors responsible to achieve this but at the expense of complex computations. In this work, we propose two hardware architectures, Parallel Pipelined Architecture (PPA), and Parallel Datapath Architecture (PDA) for the planar and direct current (DC) modes of intra prediction in HEVC. PPA supports a combination of pipelining and parallel schemes, reuses the multipliers to reduce the hardware resources. PDA includes datapath0 for planar mode and datapath1 for DC mode. They function in parallel. They support all the block sizes and implemented on Artix-7 field programmable gate array (FPGA). The implemented results show that PDA uses 20% fewer resources for block size 4, while PPA uses 20%, 46%, and 62% fewer resources for block sizes 8, 16, and 32, respectively. Detailed synthesis results show that PPA and PDA achieve a throughput of 8 pixels/clock cycle and hence can support 4K videos at 30 frames per second.