WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. Unless required by applicable law or agreed to in writing, softwareĭistributed under the License is distributed on an "AS IS" BASIS, You may not use this file except in compliance with the License. Licensed under the Apache License, Version 2.0 (the "License") pipe ( writableStream ) ContributingĬovers reporting bugs, requesting features and submitting code changes.Ĭopyright 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Lovell Fuller and contributors. GLIS is implemented with global memory and gets good returns. from ( '' ) const roundedCornerResizer = sharp ( ). In this paper, GPU-based Laplacian image sharpening (GLIS) and GPU-based Laplacian image sharpening with shared memory (SMGLIS), two novel parallel implementations of Laplacian sharpening suitable for GPU are proposed, which are pixel-level fine-grained parallelism optimizations.
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