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Sum of absolute differences

Known as: SAD 
In digital image processing, the sum of absolute differences (SAD) is a measure of the similarity between image blocks. It is calculated by taking… 
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Related topics

Related topics

20 relations
Binocular disparityComparison of video codecsComputer stereo visionDigital image processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Exploiting absolute arithmetic for power-efficient sum of absolute differences
Sum of Absolute Differences (SAD) is among the most time-consuming calculations performed in the video encoding process. SAD… 
2016
2016
Efficient sum of absolute difference computation on FPGAs
An improved architecture for efficiently computing the sum of absolute differences (SAD) on FPGAs is proposed in this work. It is… 
2016
2016
Squarer exploration for energy-efficient sum of squared differences
The main reason for the long time and high energy requirements of state-of-the-art Video Coding (VC) standards, such as the HEVC… 
2013
2013
Power Efficient Sum of Absolute Difference Algorithms for video Compression
Video Compression (VC) is one of the resource hungry key element in video communication and is commonly achieved using Motion… 
2013
2013
A low-power configurable VLSI architecture for sum of absolute differences calculation
This paper presents a new configurable VLSI architecture for Sum of Absolutes Differences (SAD) calculation with pel decimation… 
2012
2012
Low-cost FPGA stereo vision system for real time disparity maps calculation
2008
2008
An RNS based Specific Processor for Computing the Minimum Sum-of-Absolute-Differences
The sum of absolute differences (SAD) is a distance metric commonly used to determine the similarity between two data sets. A… 
2008
2008
Complexity constrained rate-distortion optimization of sign language video using an objective intelligibility metric
Sign language users are eager for the freedom and convenience of video communication over cellular devices. Compression of sign… 
2008
2008
Integer-pixel motion estimation H.264/AVC accelerator architecture with optimal memory management
2003
2003
S-MEP: a planner for numeric goals
Planning for numeric goals is an important problem. Only one of the many participants from the 2002 international planning… 
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