Adaptive reconstruction method of missing textures based on perceptually optimized algorithm

This paper presents an adaptive reconstruction method of missing textures based on structural similarity (SSIM) index. The proposed method firstly performs SSIM-based selection of the optimal known local textures to adaptively obtain subspaces for reconstructing missing textures. Furthermore, from the selected known textures, the missing texture reconstruction maximizing the SSIM index is performed. In this approach, the non-convex maximization problem is reformulated as a quasi convex problem, and the adaptive reconstruction of the missing textures becomes feasible. Experimental results show impressive improvement of the proposed method over previously reported reconstruction methods.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Takahiro Ogawa, Miki Haseyama
• Keywords: Adaptive Reconstruction, ICASSP 2011, Reconstruction Methods, Signal Processing, Textures