Sparse Bayesian Learning of Filters for Efficient Image Expansion
Technology Used: Dot Net
2010
We propose a framework for expanding a given image using an interpolator that is trained in advance with training data, based on sparse Bayesian estimation for determining the optimal and compact support for efficient image expansion. Experiments on test data show that learned interpolators are compact yet superior to classical ones.
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send full project Sparse Bayesian Learning of Filters for Efficient Image Expansion with document and ppts to my mail
can u please elaborate this for my final year project