AN EVOLUTIONARY GAME-THEORETIC APPROACH FOR IMAGE INTERPOLATION
Interpolation and Super-resolution
Přednášející: Yan Chen, Autoři: Yan Chen, Yang Gao, K. J. Ray Liu, University of Maryland College Park, United States
In this paper, we study the image interpolation from the game theoretic perspective and formulate the image interpolation problem as an evolutionary game. In this evolutionary game, the players are the unknown high resolution pixels and the pure strategies of the players are the corresponding low resolution neighbors. By regarding the non-negative weights of the low resolution pixels as the probabilities of selecting the pure strategies, the problem of estimating the high resolution pixels becomes finding the evolutionarily stable strategies for the evolutionary game. Experimental results show that the proposed game theoretical approach can achieve better performance than the state-of-the-art image interpolation methods in terms of both PSNR and visual quality.
Informace o přednášce
| Nahráno: | 2011-05-27 16:55 - 17:15, Club A |
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| Přidáno: | 15. 6. 2011 01:08 |
| Počet zhlédnutí: | 65 |
| Rozlišení videa: | 1024x576 px, 512x288 px |
| Délka videa: | 0:15:52 |
| Audio stopa: | MP3 [5.34 MB], 0:15:52 |
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