Learning to synthesize dense focal stack and all-in-focus image from sparse focal stack

Fumitaka Tateiwa; Keita Takahashi; Toshiaki Fujii

doi:10.1117/12.2590813

13 March 2021 Learning to synthesize dense focal stack and all-in-focus image from sparse focal stack

Fumitaka Tateiwa, Keita Takahashi, Toshiaki Fujii

Proceedings Volume 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021; 117660J (2021) https://doi.org/10.1117/12.2590813
Event: International Workshop on Advanced Imaging Technology 2021 (IWAIT 2021), 2021, Online Only

Abstract

We propose a method of synthesizing a dense focal stack and an all-in-focus image from a sparse focal stack that consists of only a few differently-focused images. Our algorithm is implemented using a convolutional neural network (CNN), which is trained to produce a denser focal stack by interpolating the input focal stack, and an all-in-focus image by fusing the dense focal stack. Experimental results show that our method can achieve better image quality than the baseline methods..

Citation Download Citation

Fumitaka Tateiwa, Keita Takahashi, and Toshiaki Fujii "Learning to synthesize dense focal stack and all-in-focus image from sparse focal stack", Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021, 117660J (13 March 2021); https://doi.org/10.1117/12.2590813

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