Data compression algorithm for computer vision applications: A survey
作者： Kajol Rana , Sanjeev Thakur
DOI: 10.1109/CCAA.2017.8229984
关键词:
摘要: Computers with their growing demands have applicability in every field, one of the applications is computer vision, where function an human eye has been replaced by using various sensors to capture environment similar way a does. We know that capturing through lead origin kinds images and videos different shapes sizes contain large amount descriptive information. These features enable us construct models geometry, physics, statistics. For completing our actions we make use camera, cables, connecting devices set. Similarly, information needs be transmitted over channel share others also for utilizing storage resources efficiently data compression algorithms compare which algorithm best suited given application measure level entropy ratios.
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