Fig. 4From: Low storage space for compressive sensing: semi-tensor product approachComparison of the reconstructed images with different dimensions of measurement matrices. (Lena, M = 128, N = 256, ℓ 0-minimization with ρ = 0.8). Frame a is the original image; Frame b is the reconstructed image from the original in Frame a using the matrix Φ 128×256; Frame c is the reconstructed image using the matrix Φ 64×128; Frame d is the reconstructed image using the matrix Φ 32×64; Frame e is the reconstructed image using the matrix Φ 16×32; Frame f is the reconstructed image using the matrix Φ 8×16 Back to article page