Time complexity reduction on light-field super-resolution with graph-based regularization

Jonghoon Yim; Vinh Van Duong; Byeungwoo Jeon

doi:10.1117/12.2590698

13 March 2021 Time complexity reduction on light-field super-resolution with graph-based regularization

Jonghoon Yim, Vinh Van Duong, Byeungwoo Jeon

Proceedings Volume 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021; 117662X (2021) https://doi.org/10.1117/12.2590698
Event: International Workshop on Advanced Imaging Technology 2021 (IWAIT 2021), 2021, Online Only

Abstract

Light field (LF) image is captured by plenoptic cameras which suffers from trade-off between spatial and angular resolutions. Numerous methods have been proposed to enhance the spatial resolution of images captured by LF cameras. Among the state-of-the-art methods, there is an approach to super resolve LF images using the graph-based regularization. However, it has a problem of taking too much time for execution. In this paper, we propose a method to simplify the process in computing graph. The experimental results show that our proposed method can reduce up to 18% of time complexity compared to the original approach while maintaining the image quality of LF images.

Citation Download Citation

Jonghoon Yim, Vinh Van Duong, and Byeungwoo Jeon "Time complexity reduction on light-field super-resolution with graph-based regularization", Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021, 117662X (13 March 2021); https://doi.org/10.1117/12.2590698

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