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Table 4 Tests on other random measurement matrices with different dimensions. (M/N = 0.5, 0-minimization with ρ = 0.8)

From: Low storage space for compressive sensing: semi-tensor product approach

Images

 

Ratio of dimensionality reduction

PSNR

Bernoulli

Hadamard

Toeplitz

Lena

(256 × 256)

Max

t = 1

35.3431

35.2931

35.6554

t = 2

35.3431

35.3935

35.7550

t = 4

35.6510

35.2870

35.4465

t = 8

35.2639

35.3398

35.8770

t = 16

36.2619

35.0118

35.9155

Min

t = 1

34.9759

35.0136

34.5715

t = 2

34.8563

35.0056

34.3634

t = 4

34.8053

34.7791

34.1974

t = 8

34.1163

34.1614

33.8705

t = 16

15.8923

33.0596

13.8632

Mean

t = 1

35.0819

35.1956

35.1887

t = 2

35.1102

35.2093

35.1094

t = 4

35.0779

35.1018

34.9980

t = 8

34.6943

34.7907

34.9373

t = 16

34.5464

34.4744

34.1420

Peppers

(256 × 256)

Max

t = 1

36.4659

36.5146

36.7284

t = 2

36.8068

36.5124

37.1701

t = 4

36.6284

36.4531

37.0168

t = 8

37.1965

36.6096

37.0168

t = 16

37.6965

36.7270

37.8743

Min

t = 1

36.1021

35.9480

36.0183

t = 2

35.9979

36.0554

35.2744

t = 4

35.4798

35.7992

35.6017

t = 8

34.2548

35.9329

35.6017

t = 16

17.7105

34.3432

15.4983

Mean

t = 1

36.3395

36.2944

36.3954

t = 2

36.3561

36.3110

36.2393

t = 4

36.0967

36.1344

36.4202

t = 8

35.9423

36.1665

36.4202

t = 16

35.3987

35.7520

35.4352