Image Compression Based on Compressive Sensing: End-to-End Comparison With JPEG

@article{Yuan2020ImageCB,
  title={Image Compression Based on Compressive Sensing: End-to-End Comparison With JPEG},
  author={Xin Yuan and Raziel Haimi-Cohen},
  journal={IEEE Transactions on Multimedia},
  year={2020},
  volume={22},
  pages={2889-2904}
}
We present an end-to-end image compression system based on compressive sensing. [...] Key Method We study the parameters that influence the system performance, including (i) the choice of sensing matrix, (ii) the trade-off between quantization and compression ratio, and (iii) the reconstruction algorithms. We propose an effective method to jointly control the quantization step and compression ratio in order to achieve near optimal quality at any given bit rate. Furthermore, our proposed image compression system…Expand
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