Reduction of Glare in Images with Saturated Pixels

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 i...

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Bibliographic Details
Published in2021 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
LanguageEnglish
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
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DOI10.1109/ICSIP52628.2021.9688911

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Summary: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.
DOI:10.1109/ICSIP52628.2021.9688911