open access

https://hdl.handle.net/2115/59618

Perceptually Optimized Missing Texture Reconstruction via Neighboring Embedding

英語

neighboring embedding

2015-08

Institute of Electronics, Information and Communication Engineers

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

E98.A(8)

1709-1717

Perceptually optimized missing texture reconstruction via neighboring embedding (NE) is presented in this paper. The proposed method adopts the structural similarity (SSIM) index as a measure for representing texture reconstruction performance of missing areas. This provides a solution to the problem of previously reported methods not being able to perform perceptually optimized reconstruction. Furthermore, in the proposed method, a new scheme for selection of the known nearest neighbor patches for reconstruction of target patches including missing areas is introduced. Specifically, by monitoring the SSIM index observed by the proposed NE-based reconstruction algorithm, selection of known patches optimal for the reconstruction becomes feasible even if target patches include missing pixels. The above novel approaches enable successful reconstruction of missing areas. Experimental results show improvement of the proposed method over previously reported methods.

学術雑誌論文

Version of Record

copyright©2015 The Institute of Electronics, Information and Communication Engineers

0916-8508

1745-1337