notesum.ai

Published at November 25

WTDUN: Wavelet Tree-Structured Sampling and Deep Unfolding Network for Image Compressed Sensing

eess.IV

cs.CV

Released Date: November 25, 2024

Authors: Kai Han¹, Jin Wang², Yunhui Shi¹, Hanqin Cai³, Nam Ling⁴, Baocai Yin¹

Aff.: ¹Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, China; ²School of Computer Science, Beijing University of Technology, China; ³The Department of Statistics and Data Science and the Department of Computer Science, University of Central Florida, USA; ⁴The Department of Computer Science and Engineering, Santa Clara University, USA

Arxiv: http://arxiv.org/abs/2411.16336v1

METHOD	Set11 PSNR(dB)/SSIM
METHOD	10%	20%	30%	40%	50%
DPA-Net(Sun et al., 2020a)	26.99/0.8354	/	/	35.04/0.9565	36.73/0.9670
BCS-Net(Zhou et al., 2021)	29.36/0.8650	32.87/0.9254	35.40/0.9527	36.52/0.9640	39.58/0.9734
COAST(You et al., 2021b)	28.69/0.8618	32.54/0.9251	35.04/0.9501	37.13/0.9648	38.94/0.9744
ISTA-Net++(You et al., 2021a)	27.62/0.8358	31.66/0.9127	34.23/0.9427	36.28/0.9593	37.94/0.9693
MADUN(Song et al., 2021)	29.29/0.8768	33.30/0.9355	36.00/0.9576	38.09/0.9700	39.86/0.9774
FHDUN(Cui et al., 2022)	29.53/0.8859	/	36.12/0.9589	38.04/0.9696	/
DPUNet(Yang et al., 2022b)	29.30/0.8815	33.17/0.9357	35.75/0.9581	37.90/0.9705	39.69/0.9782
SODAS-Net(Song and Zhang, 2023)	28.89/0.8669	32.20/0.9243	35.55/0.9543	37.74/0.9680	39.60/0.9769
DPC-DUN(Song et al., 2023)	29.40/0.8798	33.10/0.9334	35.88/0.9570	37.98/0.9694	39.84/0.9778
Ours(64 $\times$ 64)	29.53/0.8867	33.58/0.9371	36.27/0.9585	38.26/0.9698	40.22/0.9784
Ours(128 $\times$ 128)	29.64/0.8877	33.81/0.9399	36.41/0.9597	38.45/0.9708	40.38/0.9789