Cascaded reconstruction network for compressive image sensing

Wang, Yahan; Bai, Huihui; Zhao, Lijun; Zhao, Yao

doi:10.1186/s13640-018-0315-5

EURASIP Journal on Image and Video Processing

Table 2 SSIM valves in dB for testing image by different algorithms at the ratio MR=0.25,0.1,0.04, and 0.01 (Continued)

From: Cascaded reconstruction network for compressive image sensing

Image name	Algorithm	SSIM (without applying BM3D)
		MR=0.25	MR=0.10	MR=0.04	MR=0.01
Barbara	ReconNet	0.6829	0.5732	0.4803	0.3712
	DR²-Net	0.7991	0.6364	0.5133	0.3822
	CSRNet	0.8024	0.6312	0.5275	0.3957
	ASRNet	0.8075	0.7086	0.6213	0.4665
Fingerprint	ReconNet	0.9505	0.8026	0.4918	0.1656
	DR²-Net	0.9672	0.8576	0.5491	0.1843
	CSRNet	0.9635	0.8259	0.5278	0.1802
	ASRNet	0.9797	0.9579	0.7938	0.1818
Flinstones	ReconNet	0.8553	0.6889	0.4947	0.2758
	DR²-Net	0.9279	0.7942	0.5536	0.2959
	CSRNet	0.9174	0.7765	0.5743	0.2965
	ASRNet	0.9516	0.9262	0.7735	0.4408
Lena	ReconNet	0.7784	0.6546	0.5650	0.4390
	DR²-Net	0.8540	0.7303	0.6244	0.4529
	CSRNet	0.8632	0.7508	0.6471	0.4872
	ASRNet	0.8871	0.8398	0.7440	0.5684
Monarch	ReconNet	0.7808	0.6494	0.5199	0.3767
	DR²-Net	0.8682	0.7401	0.5783	0.3899
	CSRNet	0.8691	0.7419	0.5896	0.4032
	ASRNet	0.8974	0.8618	0.7506	0.4769
Parrots	ReconNet	0.8099	0.7142	0.6315	0.5324
	DR²-Net	0.8677	0.7709	0.6741	0.5615
	CSRNet	0.8868	0.8032	0.7180	0.6097
	ASRNet	0.9019	0.8730	0.7989	0.6790
Boats	ReconNet	0.7838	0.6454	0.5277	0.4063
	DR²-Net	0.8612	0.7281	0.5876	0.4256
	CSRNet	0.8628	0.7198	0.5784	0.4365
	ASRNet	0.8842	0.8266	0.6937	0.5054
Cameraman	ReconNet	0.7165	0.6193	0.5317	0.4495
	DR²-Net	0.7935	0.6872	0.5906	0.4777
	CSRNet	0.8043	0.6846	0.6048	0.5053
	ASRNet	0.8213	0.7932	0.7014	0.5696
Foreman	ReconNet	0.8469	0.7698	0.6802	0.5810
	DR²-Net	0.9028	0.8360	0.7506	0.6220
	CSRNet	0.9172	0.8598	0.7813	0.6541
	ASRNet	0.9280	0.9048	0.8470	0.7247
House	ReconNet	0.7832	0.6933	0.6121	0.5286
	DR²-Net	0.8459	0.7617	0.6753	0.5540
	CSRNet	0.8593	0.7785	0.6943	0.5805
	ASRNet	0.8751	0.8434	0.7695	0.6296
Peppers	ReconNet	0.7488	0.6351	0.5315	0.4222
	DR²-Net	0.8232	0.7042	0.5832	0.4365
	CSRNet	0.8271	0.7219	0.6195	0.4747
	ASRNet	0.8605	0.8386	0.7549	0.5607
Mean SSIM	ReconNet	0.7942	0.6769	0.5515	0.4135
	DR²-Net	0.8646	0.7497	0.6073	0.4348
	CSRNet	0.8703	0.7540	0.6239	0.4567
	ASRNet	0.8904	0.8522	0.7499	0.5276

“MEAN SSIM” is the mean SSIM values among all 11 testing images

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