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- W4308235909 abstract "Intra prediction is an important technique to improve coding efficiency by exploiting the spatial redundancy present in typical video sequences. In video coding standards such as H.264/AVC, HEVC and VVC, directional predictors are utilized to generate prediction along a single direction within a block to be coded. However, these predictors fail to generate an accurate prediction when the block contains complex patterns such as periodic textures. In this paper, we propose a graph-based inpainting method that can handle both regular and near-regular textures. The proposed inpainting method utilizes a total variation model associated with the Laplacian matrix of a graph, whose edge weights are a function of pixel patch distance. We evaluate the performance of our proposed method as an additional prediction mode combined with the H.264/AVC coding standard. Experimental results show that the proposed method can significantly outperform H.264/AVC predictors in areas with high frequency periodic patterns." @default.
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- W4308235909 date "2022-10-16" @default.
- W4308235909 modified "2023-10-14" @default.
- W4308235909 title "Intra Prediction of Regular and Near-Regular Textures Via Graph-Based Inpainting" @default.
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- W4308235909 doi "https://doi.org/10.1109/icip46576.2022.9897909" @default.
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