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Low-Light Image Enhancement Using Inverted Atmospheric Light

Santhiya S.*, Nandhini S.**, Mogana Priya M. ***, K. Selva Bhuvaneswari ****

*-**** Department of Computer Science and Engineering, University College of Engineering, Kancheepuram, Tamil Nadu, India.

Periodicity:April - June'2021
DOI : https://doi.org/10.26634/jse.15.4.18142

Abstract

Low-light often leads to poor image visibility, which may have a substantial influence on the performance when using computer vision algorithms. The quality of low-light images can be improved by applying modified absorption light scattering model (ALSM). The reconstruction of hidden contours and features from a low-light image using an absorption light scattering picture obtained with ALSM is possible under appropriate and uniform illumination. To restrict the resemblance, superpixels may be employed as a measure. It is proposed that a mean-standard deviation (MSD) technique be used, which operates directly on patches and is depicted using superpixels. The MSD can achieve lower transmittance than the minimal technique, and it can be automatically adjusted in response to image information.

Keywords

ALSM, Superpixel, Image Enhancement.

How to Cite this Article?

Santhiya, S., Nandhini, S., Priya, M. M., and Bhuvaneswari, K. S. (2021). Low-Light Image Enhancement Using Inverted Atmospheric Light. i-manager's Journal on Software Engineering, 15(4), 8-18. https://doi.org/10.26634/jse.15.4.18142

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