Due to hardware limitations in sampling, we begin our work with a deterministic matrix.
We employ a sparse sensing matrix capable of achieving high-quality results.
Utilizing sparsity, we streamline calculations in each iteration,
replacing complex operations with simpler procedures.
This implementation is carried out on the Xilinx Virtex UltraScale+ FPGA device.
Experimental results demonstrate a speedup of 290 times compared to the state-of-the-art method,
requiring only 0.026 seconds to reconstruct an 8K grayscale image,
achieving real-time reconstruction at 30 FPS.
Top: The architecture of PGTformer.
Top: The architecture of PGTformer.
Quantitative comparison on VFHQ Blind setting.
@inproceedings{xu2022real,
title={Real-time fpga design for omp targeting 8k image reconstruction},
author={Xu, Jiayao and Fu, Chen and Zhang, Zhiqiang and Zhou, Jinjia},
booktitle={International Conference on Multimedia Modeling},
pages={518--529},
year={2022},
organization={Springer}
}