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We propose a new technique of non-iterative super-resolution image reconstruction. A closed form solution to reconstruction is derived in the discrete cosine transform (DCT) domain from a MAP-based cost functional. An average image is used in order to avoid iterative operations. Symmetric convolution with appropriate types of DCT suppresses boundary distortion. Experimental results demonstrate the...
In a car license plate recognition system, effective and robust image expansion methods will improve its performance and bring a lower error rate. Two MAP-based super-resolution image reconstruction approaches for single image with a prior image model described as Huber Markov random field are discussed and applied to such a system in this paper. A new spatial smoothness measurement based on a flexible...
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