Guindy, Mary, Adhikarla, Vamsi Kiran, Kara, Peter Andras, Balogh, Tibor and Simon, Aniko (2022) Towards reconstructing HDR light fields by combining 2D and 3D CNN architectures. In: Big Data IV: Learning, Analytics, and Applications; 03-04 Apr 2022, Orlando, Florida.
Abstract
High dynamic range imaging has recently become a technological trend, with numerous attempts to reconstruct HDR images and videos from low-dynamic-range data. The reconstruction of light field images is analogous to the reconstruction of HDR videos, within which consecutive frames are temporally coherent. For light field images, many similarities exist between the adjacent views, since they visualize the same scene from different angular perspectives. In this paper, we investigate the theoretical possibilities of combining CNN architectures utilized for HDR images and videos in order to enhance the outputs of HDR light field image reconstruction.
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