A Quick No-Reference Quantification of the Overall Contrast of an Image
Sergei Yelmanov, Yuriy M. Romanyshyn · 2020
This study examines the issue of quickly quantifying the overall contrast of the image at the lowest required cost. The main goal of this study is to achieve better the accuracy and reliability of the quick assessment of global contrast for multi-element images. To meet this challenge, in this work, we propose a new approach to quickly quantify the contrast of the image by measuring its incomplete integral contrast. At the heart of the proposed approach is the assessment of contrast for each object in the image relative to the adaptation level given the sizes (area) of these objects. To demonstrate the possibilities of such an approach, new metrics proposed for measuring incomplete integral contrast with the use of different definitions of contrast kernels. Such an approach allows us to a more full and accurate evaluate the impact of objects on forming the estimate of image overall contrast.