以樣本為基礎之超解析技術

本論文針對Chang et al. 所提之基於鄰居內嵌法的超解析演算法，提出了一個改進的版本。取代Chang et al.採用歐式距離尋找K個最接近之鄰居之方法，我們定義一個相似度Similarity，來尋找K個最相似之鄰居。相似度定義內含有兩區塊內導數的標準差，因而能找出更適當的鄰居。除此，我們也改進線性組合係數的取法，進而有效地改進整個超解析之結果。

關鍵字

超解析；鄰居內嵌法； PSNR ； SSIM

並列摘要

In this paper, we propose an improved version of the neighbor-based super-resolution algorithm proposed by Chang et al.. Different from Chang’s method that uses the Euclidean distance to find the K most nearest neighbors of a low-resolution patch, we define a similarity function and use it to find the K most similar neighbors of a low-resolution patch. In addition, we use a set of different weights for taking a linear combination of the high-resolution patches corresponding to the selected K most nearest neighbors. Although the set of the weights used by Chang minimizes the error they defined, the reconstructed high-resolution images by our method have better PSNR and SSIM than those constructed by Chang’s method.

並列關鍵字

super-resolution ； neighbor embedding ； PSNR ； SSIM

參考文獻

[1] R.Y. Tsai and T.S. Huang, "Multiframe image restoration and registration," in Advances in Computer Vision and Image Processing, Greenwich, 1984, pp. 317-339.

[2] S. C. Park, M. K. Park, and M. G. Kang, "Super-resolution image reconstruction: a technical overview," in IEEE Signal Processing Magazine, vol. 20, 2003, pp. 21-36.

[3] R. R. Schultz and R. L. Stevenson, "A Bayesian approach to image expansion for improved definition," in IEEE Transactions on Image Processing, vol. 3, 1994, pp. 233-242.

[5] R. R. Schultz and R. L. Stevenson, "Extraction of high-resolution frames from video sequences," in IEEE Trans. Image Processing, vol. 5, 1996, pp. 996-1011.

[6] R. R. Schultz, L. Meng, and R. L. Stevenson, "Subpixel motion estimation for super-resolution image sequence enhancement," in Journal of Visual Communication and Image Representation, vol. 9, 1998, pp. 38-50.

國際替代計量

以樣本為基礎之超解析技術

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