Data compression algorithm for computer vision applications: A survey
Kajol Rana, Sanjeev Thakur · 2017
Computers with their growing demands have their applicability in every field, one of the applications is the computer vision, where the function of an human eye has been replaced by using various sensors to capture the environment in the similar way a human eye does. We know that capturing the environment through sensors lead to origin of various kinds of images and videos of different shapes and sizes and contain large amount of descriptive information. These features enable us to construct various models by using the geometry, physics, statistics. For completing our actions we make use of camera, cables, connecting devices and computer set. Similarly, the descriptive information needs to be transmitted over a channel to share with others and also for utilizing the storage resources efficiently we make use of data compression algorithms and compare which algorithm is best suited for a given application and measure the level of compression using entropy and compression ratios.