High dynamic range imaging based on camera response estimation and multi-gradients fusion
Daiki Kimura, Akira Kondo, Taichi Yoshida, Masahiro Iwahashi · 2016
We propose a fusion method for high dynamic range (HDR) imaging based on the estimated camera response function (CRF) and fused gradients from input multi-exposure images. We introduce an objective function consisting of data fidelity and gradient-based constraint functions, and HDR images are produced via minimizing it. These functions are respectively defined based on the estimated CRF and the fused gradients to estimate irradiance values and gradients of HDR images. Consequently, the proposed method produces natural HDR images inferred from their multi-exposure images with fine details. Through simulations, we show that the proposed method outperforms previous ones objectively and perceptually.