Learned perceptual image enhancement
Learned perceptual image enhancement
Learning a typical image enhancement pipeline involves minimization of a loss function between enhanced and reference images. While L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> and L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> losses are perhaps the most widely used functions for this purpose, they do not necessarily lead to perceptually compelling results. In this paper, …