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A Dual-Clock VLSI Design of H.265 Sample Adaptive Offset
Estimation for 8k Ultra-HD TV Encoding
ABSTRACT:
Sample adaptive offset (SAO) is a newly introduced in-loop filtering component in
H.265/High Efficiency Video Coding (HEVC). While SAO contributes to a
notable coding efficiency improvement, the estimation of SAO parameters
dominates the complexity of in-loop filtering in HEVC encoding. This paper
presents an efficient VLSI design for SAO estimation. Our design features a dual-
clock architecture that processes statistics collection (SC) and parameter decision
(PD), the two main functional blocks of SAO estimation, at high- and low speed
clocks, respectively. Such a strategy reduces the overall area by 56% by addressing
the heterogeneous data flows of SC and PD. To further improve the area and power
efficiency, algorithm-architecture co-optimizations are applied, including a coarse
range selection (CRS) and an accumulator bit width reduction (ABR). CRS shrinks
the range of fine processed bands for the band offset estimation. ABR further
reduces the area by narrowing the accumulators of SC. They together achieve
another 25% area reduction. The proposedVLSI design is capable of processing 8k
at 120-frames/s encoding. It occupies 51k logic gates, only one-third of the circuit
area of the state-of-the-art implementations. The proposed architecture of this
paper analysis the logic size, area and power consumption using Xilinx 14.2.
SOFTWARE IMPLEMENTATION:
ļ‚· Modelsim
ļ‚· Xilinx ISE

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