Significance-driven adaptive approximate computing for energy-efficient image processing applications: special session paper

2017 
With increasing resolutions the volume of data generated by image processing applications is escalating dramatically. When coupled with real-time performance requirements, reducing energy consumption for such a large volume of data is proving challenging.
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