Efficient Absolute Difference Circuit for SAD Computation On FPGA

Jaya Koshta, K. Khare, M. K. Gupta
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引用次数: 1

Abstract

Video Compression is very essential to meet the technological demands such as low power, less memory and fast transfer rate for different range of devices and for various multimedia applications. Video compression is primarily achieved by Motion Estimation (ME) process in any video encoder which contributes to significant compression gain.Sum of Absolute Difference (SAD) is used as distortion metric in ME process.In this paper, efficient Absolute Difference (AD) circuit is proposed which uses Brent Kung Adder(BKA) and a comparator based on modified 1’s complement principle and conditional sum adder scheme. Results shows that proposed architecture reduces delay by 15% and number of slice LUTs by 42% as compared to conventional architecture. Simulation and synthesis are done on Xilinx ISE 14.2 using Virtex 7 FPGA.
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FPGA上SAD计算的高效绝对差分电路
视频压缩技术是满足低功耗、低内存、快传输速率等技术要求的重要技术手段。在任何视频编码器中,视频压缩主要是通过运动估计(ME)过程来实现的,这有助于显著的压缩增益。在ME过程中,采用绝对差和(SAD)作为失真度量。本文提出了一种采用Brent Kung加法器(BKA)和基于修正1补码原理和条件和加法器的比较器的高效绝对差分(AD)电路。结果表明,与传统架构相比,该架构可减少15%的延迟和42%的片lut数量。仿真和综合在Xilinx ISE 14.2上使用Virtex 7 FPGA完成。
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