Low Light Image Enhancement Using Grover'S Algorithm on Superposed Luminance Levels

Usually, limited information is available for enhancing low light images. We propose that presence of interactions between superposed luminance levels be exploited to draw reliable information for the enhancement. Grover's algorithm implements the interaction resulting in information passing between luminance levels, following which a noise-resilient transformation is employed. Qualitative and quantitative results depict that our proposal is capable of enhancing low light images better than the state-of-the-art.