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Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
[article]
2018
arXiv
pre-print
Convolutional neural networks have recently demonstrated high-quality reconstruction for single image super-resolution. However, existing methods often require a large number of network parameters and entail heavy computational loads at runtime for generating high-accuracy super-resolution results. In this paper, we propose the deep Laplacian Pyramid Super-Resolution Network for fast and accurate image super-resolution. The proposed network progressively reconstructs the sub-band residuals of
arXiv:1710.01992v3
fatcat:fiqqlbaz5raeph4cq27gn25ge4