We present a new energy-based compression model for the display of high dynamic range images. The proposed tone mapping method tends to exploit the biologically inspired dynamic retina concept, which is herein mathematically expressed via an image representation based on the specification of the statistical distributions of the nonlocal gradient magnitude. In this framework, which also operates the notion of nonlocal gradient recently put forward by Gilboa and Osher, the detail-preserving contrast reduction problem is therefore expressed by a energy-based model with nonlocal pairwise pixel interactions defined on a complete graph whose cost function is locally minimized by a conjugate gradient descent procedure. The experiments demonstrate that the proposed compression method is efficient and provides pleasing results on various images with different scene contents and performs competitively compared to the best existing state-of-the-art tone mapping methods recently proposed in the literature.
"Non-local pairwise energy-based model for the high-dynamic-range image compression problem," Journal of Electronic Imaging 21(1), 013016 (29 March 2012). https://doi.org/10.1117/1.JEI.21.1.013016