Reduction of Glare in Images with Saturated Pixels
Muhammad Zeshan Alam, Nicola Giuliani, Hu Chen, Rafał Mantiuk · 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP) · 2021
In this paper, we propose a deconvolution-based glare reduction method for HDR images. Specifically, we consider glared images containing saturated pixels and estimate the true radiance of these pixels followed by the deconvolution with the known glare spread function (GSF) to recover a glare-free image. The proposed method combines the image glare model with a dark channel prior for an accurate estimation of true radiance. The GSF is estimated separately in an offline calibration step. The qualitative and quantitative analysis of results on a variety of real and simulated glare images demonstrate the effectiveness of the proposed method.