Nonlocal mean method based on soft weighting for filling holes in the depth image based rendering system

Zihao Zhang

doi:10.1117/12.2589356

27 January 2021 Nonlocal mean method based on soft weighting for filling holes in the depth image based rendering system

Zihao Zhang

Author Affiliations +

Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 1172024 (2021) https://doi.org/10.1117/12.2589356
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China

Abstract

Non local mean method has been widely used to fill the holes in the depth image based rendering system. For selected candidate patches, the weighting coefficient is very important for filling effect. In this paper, we select the optimal candidate patches depending on color, gradient and depth information. In order to obtain more appropriate weighting coefficient for each candidate patches, namely soft weighting, we constructed an equation sets between the valid pixels in the hole and the corresponding pixels in each candidate patches. The weighting coefficient is computed by the Orthogonal Matching Pursuit method (OMP), namely soft weighting. Finally, we combine the weight of several best matching patches to fill the holes. The results show that the proposed method has a better robustness and performance for filling hole in DIBR systems than other holes filling based on algorithms.

Citation Download Citation

Zihao Zhang "Nonlocal mean method based on soft weighting for filling holes in the depth image based rendering system", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 1172024 (27 January 2021); https://doi.org/10.1117/12.2589356

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