Sentence examples for missing textures using from inspiring English sources

Amano and Sato proposed an effective PCA-based method for reconstructing missing textures using back projection for lost pixels and realized accurate reconstruction performance [13].

Therefore, by using this quality measure, accurate reconstruction of missing textures can be expected.

In order to reconstruct the missing textures within the target patch from only the same kinds of textures, we have to select those textures from the known areas.

Thus, several methods have been proposed for accurate reconstruction of missing textures [6 12].

First, the proposed method performs SSIM-based selection of the optimal known local textures to adaptively obtain subspaces for reconstructing missing textures.

Then the proposed method can adaptively reconstruct the missing textures from only the same kinds of known textures based on the perceptually optimized scheme.

The proposed method adaptively obtains subspaces utilized for the reconstruction of missing textures by selecting the optimal known local textures based on the SSIM index.

In the proposed method, a patch (  pixels) including missing areas is clipped from the target image, and its missing textures are estimated from the other known areas.

On the other hand, the proposed method adopts the SSIM index for obtaining subspaces and reconstructing missing textures.

Specifically, we introduce the following two novel approaches into the SSIM-based algorithm and realize adaptive reconstruction of missing textures.

In this paper, we have presented an adaptive method for reconstructing missing textures based on the SSIM index.