Reduction of Glare in Images with Saturated Pixels

• Published in: 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP) pp. 498 - 502
• Main Authors: Alam, Muhammad Z., Giuliani, Nicola, Chen, Hu, Mantiuk, Rafal K.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.10.2021
• Subjects: Channel estimation; Conferences; dark channel prior; Deconvolution; Dynamic range; Estimation; Glare reduction; glare spread function; high dynamic range imaging; Image processing; Statistical analysis
• DOI: 10.1109/ICSIP52628.2021.9688911

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.