Image illumination enhancement with an objective no-reference measure of illumination assessment based on Gaussian distribution mapping

摘要: Abstract Illumination problems have been an important concern in many image processing applications. The pattern of the histogram on introduces meaningful features; hence within process illumination enhancement, it is not to destroy such information. In this paper we propose a method enhance using Gaussian distribution mapping which also keeps information laid original image. First based mean and standard deviation input will be calculated. Simultaneously with desired Then cumulative function each distributions calculated used order map old pixel value onto new value. Another issue field enhancement absence quantitative measure for assessment research work, indicating state, i.e. contrast level brightness image, proposed. utilizes estimated Kullback-Leibler Divergence (KLD) between calculate measure. experimental results show effectiveness reliability proposed technique, as well over conventional state-of-the-art techniques.