Noise reduced high dynamic range tone mapping using information content weights

In this paper, we propose a noise reduced tone mapping method based on information content weights, where the perceptually unimportant pixels are smoothed during the decomposition in two steps. First, a saliency-based information content weight is introduced to give high fidelity to the data term based on the ratio of the local pixel power and the overall noise power in the base layer decomposition. Then, the detail layer is subtracted using the mutual information-based information content weight from the original image luminance and the clean base layer. Experiments show the effectiveness of the proposed method in the improvements of both signal-to-noise ratio and visual quality.