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SRIRSuper-Resolution Image Reconstruction (computer algorithm)
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References in periodicals archive ?
The super-resolution image reconstruction based on sparse representation is to reconstruct the high-resolution image by the model of sparse representation, when given the known low-resolution image.
Katsaggelos, "Bayesian Super-Resolution image reconstruction using an [l.sub.1] prior," in Proceedings of the 2009 6th International Symposium on Image and Signal Processing and Analysis, pp.
Diao, "Sub-dictionary based sparse representation for efficient super-resolution image reconstruction," Information Technology Journal, vol.
Jena, "POCS based super-resolution image reconstruction using an adaptive regularization parameter," International Journal of Computer Science Issues, vol.
In general, super-resolution image reconstruction transforms multiple low resolution images into one high-resolution image [17][18].