Abstract:
Aiming at the problem that the light field multi-view image quality is poor which is resulting from the specific lenslet structure of the light field camera and pixel aliasing at the lenslet edge, a light field demosaicing algorithm based on double-guided filtering is proposed. First, the G image is reconstructed by reweighting the gradient based threshold free (GBTF) algorithm with the white image and lenslet mask information. Then, the reconstructed G image is used to double-guide the R/B image for reconstruction. Finally, the reconstructed R, G, and B images are combined into a full color image. The demosaicing result demonstrates that compared with other advanced demosaicing algorithms, the index CPSNR is increased by 1.68%, the index SSIM is increased by 2%, and the light field multi-view image obtained by our method has clear edges and less color artifacts.
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Abstract: Aiming at the problem that the light field multi-view image quality is poor which is resulting from the specific lenslet structure of the light field camera and pixel aliasing at the lenslet edge, a light field demosaicing algorithm based on double-guided filtering is proposed. First, the G image is reconstructed by reweighting the gradient based threshold free (GBTF) algorithm with the white image and lenslet mask information. Then, the reconstructed G image is used to double-guide the R/B image for reconstruction. Finally, the reconstructed R, G, and B images are combined into a full color image. The demosaicing result demonstrates that compared with other advanced demosaicing algorithms, the index CPSNR is increased by 1.68%, the index SSIM is increased by 2%, and the light field multi-view image obtained by our method has clear edges and less color artifacts.
