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Learning Texture Transformer Network for Light Field Super-Resolution

2022-10-09 15:16:07
Javeria Shabbir, M. Zeshan Alam, M. Umair Mukati
arXiv_CV
       
Abstract

Hand-held light field cameras suffer from low spatial resolution due to the inherent spatio-angular tradeoff. In this paper, we propose a method to improve the spatial resolution of light field images with the aid of the Texture Transformer Network (TTSR). The proposed method consists of three modules: the first module produces an all-in focus high-resolution perspective image which serves as a reference image for the second module, i.e. TTSR, which in turn produces a high-resolution light field. The last module refines the spatial resolution by imposing a light field prior. The results demonstrate around 4 dB to 6 dB PSNR gain over a bicubically resized light field image

Abstract (translated)

URL

https://arxiv.org/abs/2210.09293

PDF

https://arxiv.org/pdf/2210.09293.pdf

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