Volume : II, Issue : XII, December - 2013
Study on Different Approaches for Super Resolution
Kiran P. Patel
Abstract :
Super Resolution is a technique of enhancing the resolution of an image or video using different signal processing techniques.The objective of SR imaging is to produce an image with a clearer content from its low resolution counterpart rather than simply achieving a larger size of image. In other words, the main goal and the first priority of super–resolution imaging is to ‘fuse’ the contents of multiple input images in order to produce one output image containing with more clear and detailed contents. The physical size of the output image (in terms of total number of pixels) could be the same as any one of the input images or subject to further enlargement using an image interpolation method. Second, in our context, the term resolution of super–resolution is referred to the spatial resolution of the image, not the temporal resolution of the image sequence.
Keywords :
Super Resolution Frequency domain based approach ) Interpolation–based approach Regularization–based approach Iterative back projection approach
Article:
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DOI : 10.36106/ijsr
Cite This Article:
Kiran P. Patel, Study on Different Approaches for Super Resolution, International Journal of Scientific Research, Vol.II, Issue.XII December 2013
Number of Downloads : 265
References :
Kiran P. Patel, Study on Different Approaches for Super Resolution, International Journal of Scientific Research, Vol.II, Issue.XII December 2013
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