OpenICS: Open Image Compressive Sensing Toolbox and Benchmark
OpenICS: Open Image Compressive Sensing Toolbox and Benchmark
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DOI：
10.1016/j.simpa.2021.100081
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发表时间：
2021-02
期刊：
影响因子：
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通讯作者：
Jonathan Zhao;Matthew Westerham;Mark Lakatos-Toth;Zhikang Zhang;Avi Moskoff;Fengbo Ren
中科院分区：
文献类型：
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作者：
Jonathan Zhao;Matthew Westerham;Mark Lakatos-Toth;Zhikang Zhang;Avi Moskoff;Fengbo Ren
图像压缩感知的实际应用在很大程度上受到实施和评估缺乏标准化的限制。为了解决这个问题，我们提出了OpenICS，一个图像压缩感知工具箱，实现了多个流行的图像压缩感知算法到一个统一的框架与标准化的用户界面。此外，还提出了一个相应的基准测试，以提供一个公平和完整的评估所实现的算法。我们希望这项工作能够服务于日益增长的压缩感知研究社区和工业界，以促进图像压缩感知的发展和应用。
The real-world application of image compressive sensing is largely limited by the lack of standardization in implementation and evaluation. To address this limitation, we present OpenICS, an image compressive sensing toolbox that implements multiple popular image compressive sensing algorithms into a unified framework with a standardized user interface. Furthermore, a corresponding benchmark is also proposed to provide a fair and complete evaluation of the implemented algorithms. We hope this work can serve the growing research community of compressive sensing and the industry to facilitate the development and application of image compressive sensing.