OpenICS: Open Image Compressive Sensing Toolbox and Benchmark
We present OpenICS, an image compressive sensing toolbox that includes multiple image compressive sensing and reconstruction algorithms proposed in the past decade. Due to the lack of standardization in the implementation and evaluation of the proposed algorithms, the application of image compressiv...
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Zusammenfassung: | We present OpenICS, an image compressive sensing toolbox that includes
multiple image compressive sensing and reconstruction algorithms proposed in
the past decade. Due to the lack of standardization in the implementation and
evaluation of the proposed algorithms, the application of image compressive
sensing in the real-world is limited. We believe this toolbox is the first
framework that provides a unified and standardized implementation of multiple
image compressive sensing algorithms. In addition, we also conduct a
benchmarking study on the methods included in this framework from two aspects:
reconstruction accuracy and reconstruction efficiency. We wish this toolbox and
benchmark can serve the growing research community of compressive sensing and
the industry applying image compressive sensing to new problems as well as
developing new methods more efficiently. Code and models are available at
https://github.com/PSCLab-ASU/OpenICS. The project is still under maintenance,
and we will keep this document updated. |
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DOI: | 10.48550/arxiv.2103.00652 |