1(b), (c), (d), (e), (f)and (g) are the reconstructed Lena images obtained by the FLBM, ALBM, FLBI, LBM, BP and OMP, respectively.
The reconstruction results obtained by FLBM has slightly better appearances than ALBM, FLBI, LBM and BP, and has better appearances than OMP.
Table 2 gives the quantitative results of the FLBM, ALBM, FLBI, LBM, BP and OMP algorithms.
However, the FLBM is significantly superior to the LBM, BP and OMP algorithm, and is slightly superior to the ALBM and FLBI algorithm, for the same sampling rate.
The PSNR in dB of the reconstructed images and the required run time in seconds at different sampling rates resulting from the FLBM and ALBM algorithms are listed in Table 4.
5 (b), (c), (d), (e), (f) and (g) are the reconstructed Lena images obtained by the FLBM, ALBM, FLBI, LBM, BP and OMP, respectively.
Table 5 gives the PSNR of the reconstructed Lena image at different noise levels resulting from the FLBM, ALBM, FLBI, LBM, BP and OMP algorithms.
For further comparison, the PSNR in dB of the reconstructed different noisy images at different noise levels resulting from the FLBM and ALBM algorithms are listed in Table 6.
Clearly, our proposed method outperforms ALBM for all different noisy images with different noise levels.