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Improving image resolution by adaptive back-projection correction techniques
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AI
DOI：10.1109/TCE.2002.1037022.png)
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Abstract
En 中文
The paper describes a back-projection based algorithm, improved by adaptive techniques, able to reconstruct a high-resolution image from multiple low-resolution frames. The proposed approach is mainly based on a specific metric, the uncertainty degree, used in pixel reconstruction and on a local Auto-iterative approach for error correction. Using uncertainty the amount of computation is sensibly reduced. The Auto-iterative technique reduces drastically the number of iterations needed to decrease approximation errors. This method is suitable to be applied when real-time processing is required. Experimental results are presented both in terms of perceived and measured quality.
Keywords:
resolution enhancement
back-projection
super-resolution
uncertainty
auto-iterative
motion estimation
Journal
IF:
10.9
Papers:
5.1K
Citations:
6.8K
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