A Critical Appraisal of Bio-Inspired HDR Image from Low-light Image Enhancement
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Abstract
Capturing an image in a proper way is a difficult task to fulfil the observer’s expectations. This is ever more finding and recognized that applications of bio-inspired algorithms addressed high solutions on time. To explore more and more intelligent algorithms are there to solve but the fast growth of bio-inspired are likely neural networks, genetic algorithms, particle swarm and ant colony optimization to explored by the researcher. This is due to the fact that bio-inspired based high dynamic range (HDR) is more robust, accurate and efficient in solving low light image enhancement processing problems. This paper reviews 30 out of 100 bio-inspired Algorithm kinds of research published in Google Scholar, Springer, ACM Digital Library and IEEExplore between the periods of 2010 to 2018 used to solve low light image processing problems. This paper covers the low light image enhancement for HDR using the bio-inspired algorithm.
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