Automatic image enhancement by content dependent exposure correction
EURASIP Journal on Applied Signal Processing
A New Super-Resolution Algorithm Based on Areas Pixels and the Sampling Theorem of Papoulis
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Super-resolution reconstruction of video sequences based on back-projection and motion estimation
Proceedings of the 5th International ICST Mobile Multimedia Communications Conference
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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.