MSAR-Net: Multi-scale attention based light-weight image super-resolution

Nancy Mehta; Subrahmanyam Murala

doi:10.1016/j.patrec.2021.08.011

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MSAR-Net: Multi-scale attention based light-weight image super-resolution

Nancy Mehta Subrahmanyam Murala

Year: 2021 Journal: Pattern Recognition Letters Vol: 151 Pages: 215-221 Publisher: Elsevier BV

DOI: 10.1016/j.patrec.2021.08.011

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Keywords:

Computer science Benchmark (surveying) Block (permutation group theory) Residual Convolutional neural network Enhanced Data Rates for GSM Evolution Artificial intelligence Scale (ratio) Projection (relational algebra) Pattern recognition (psychology) Convolution (computer science) Image resolution Artificial neural network Algorithm Mathematics

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

MSAR-Net: Multi-scale attention based light-weight image super-resolution

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