A novel disparity-assisted block matching-based approach for super-resolution of light field images
Name:
Saber Farag. 3DTV-2018 pdf.pdf
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Abstract
Currently, available plenoptic imaging technology has limited resolution. That makes it challenging to use this technology in applications, where sharpness is essential, such as film industry. Previous attempts aimed at enhancing the spatial resolution of plenoptic light field (LF) images were based on block and patch matching inherited from classical image super-resolution, where multiple views were considered as separate frames. By contrast to these approaches, a novel super-resolution technique is proposed in this paper with a focus on exploiting estimated disparity information to reduce the matching area in the super-resolution process. We estimate the disparity information from the interpolated LR view point images (VPs). We denote our method as light field block matching super-resolution. We additionally combine our novel super-resolution method with directionally adaptive image interpolation from [1] to preserve sharpness of the high-resolution images. We prove a steady gain in the PSNR and SSIM quality of the super-resolved images for the resolution enhancement factor 8x8 as compared to the recent approaches and also to our previous work [2].Citation
Farag S, Velisavljevic V (2018) 'A novel disparity-assisted block matching-based approach for super-resolution of light field images', 2018 3DTV-Conference (3DTV-CON) - Stockholm, IEEE.Publisher
IEEEAdditional Links
https://ieeexplore.ieee.org/document/8478627Type
Conference papers, meetings and proceedingsLanguage
enISBN
9781538661253ae974a485f413a2113503eed53cd6c53
10.1109/3DTV.2018.8478627
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/