Application of Compressive Sensing to Ultrasound Images: A Review

Table 3

CS reconstruction algorithm based on compression ratio.

S/N	Reference	Method	PSNR					SSIM
1	[41]	Orthogonal matching pursuit for CS; Compressive sampling matching pursuit	Algorithm	20%	40%	60%	80%	20%	40%	60%	80%
			OMP	24.13	24.33	24.40	25.10
			CoSaMP	26.44	26.48	26.48	26.75
2	[42]	ADMM compressive deconvolution; GGD	ADMM	24.77	25.28	26.03	26.82
3	[43]	Compressive sampling image deconvolution AM-based algorithm for compressive blind deconvolution		21.48	22.59	23.12	24.39
4	[44]	CSBD; SDMM; TRF and PSF	CD_true	25.29	27.07	28.57	29.29	61.07	73.91	78.14	80.10
			CD	22.72	22.49	22.33	22.32	45.76	49.66	50.51	52.04
			CSBD	25.01	26.87	27.31	28.55	58.36	73.22	77.35	80.03
5	[45]	Compressive deconvolution based on ADMM Lp-norm minimization	Dataset	B-PSNR
			Image 1 proposed	28.97	40.65	47.28	52.33	22.40	43.74	65.06	72.52
			Image 1 sequential	49.25	40.98	31.90	22.34	20.75	36.82	55.72	70.93
			Image 2 proposed	73.75	66.98	52.38	52.12	26.23	52.80	59.06	60.25
			Image 2 sequential	36.46	29.60	25.90	23.87	18.32	28.02	40.89	39.89