Variational local gradient threshold driven convex optimization for single image reflection suppression

Peilin Li; Guoxia Xu; Bin Li; Xiaodan Hu; Ran Shen; Lizhen Deng

doi:10.1117/12.2607144

28 October 2021 Variational local gradient threshold driven convex optimization for single image reflection suppression

Peilin Li, Guoxia Xu, Bin Li, Xiaodan Hu, Ran Shen, Lizhen Deng

Proceedings Volume 11884, International Symposium on Artificial Intelligence and Robotics 2021; 118841T (2021) https://doi.org/10.1117/12.2607144
Event: International Symposium on Artificial Intelligence and Robotics 2021, 2021, Fukuoka, Japan

Abstract

To better suppress the reflection layer image by shooting through the glass, we propose a reflection suppression model to highlight the main information of the reflected image. We combine the local linear model of a guided filter with the gradient threshold to enhance the boundary contour of the image to achieve the effect of suppressing reflections and effectively solve the established partial differential equations by using discrete cosine transform. Experiments on images taken in different scenes prove the superiority of this method is the problem of single- image reflection suppression.

Citation Download Citation

Peilin Li, Guoxia Xu, Bin Li, Xiaodan Hu, Ran Shen, and Lizhen Deng "Variational local gradient threshold driven convex optimization for single image reflection suppression", Proc. SPIE 11884, International Symposium on Artificial Intelligence and Robotics 2021, 118841T (28 October 2021); https://doi.org/10.1117/12.2607144

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KEYWORDS

Image transmission

Image enhancement

Image filtering

Convex optimization

Image quality

Photography

Glasses

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