Efficient High-Order Image Subsampling Using FANNs
نویسندگان
چکیده
We propose a method for high–order image subsampling using feedforward artificial neural networks (FANNs). Our method employs a tridiagonally symmetrical FANN, which is obtained by applying the design algorithm proposed in [1], and a small, fully connected FANN. We show that our subsampling method provides excellent speed–performance tradeoffs as compared to those of the method based exclusively on fully connected FANNs.
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