Research Article

Enhancing Matrix Completion Using a Modified Second-Order Total Variation

Table 3

PSNRSSIM results on reconstruction of 20 test images with text by different algorithms.

IRLS PSSV LTVNN SPC-TV SPC-QV Ours

1 28.560.956 30.470.97530.910.981 29.780.965 30.740.97334.170.992

2 22.130.911 23.960.930 24.430.955 24.620.93926.130.96226.650.972

3 22.270.895 25.450.944 25.410.963 25.780.94827.700.97130.190.987

4 21.140.897 21.680.904 22.690.933 22.500.92023.430.93923.580.950

5 23.600.919 25.180.943 25.330.951 25.400.94526.620.96026.960.969

6 22.850.902 24.940.932 25.740.956 25.560.94127.300.96427.980.973

7 21.140.906 23.300.933 23.200.959 23.700.93725.000.96326.480.983

8 24.930.926 29.080.962 27.330.969 28.720.95630.120.97131.020.979

9 21.120.905 22.700.926 22.940.940 23.380.93524.660.95325.070.962

10 23.840.912 26.490.948 26.040.949 26.760.95028.190.96429.340.974

11 20.200.895 21.320.911 22.210.958 22.070.92423.410.95123.720.971

12 18.120.892 20.510.926 20.640.943 20.970.93322.620.95623.610.967

13 25.320.920 27.090.938 27.950.959 27.720.94729.280.96530.720.977

14 24.310.920 26.740.951 26.670.958 27.180.95328.580.96829.210.977

15 24.300.913 25.410.929 26.370.948 26.060.93827.420.95528.500.968

16 20.190.890 22.560.920 22.410.949 22.970.93124.800.96126.330.977

17 19.760.874 21.800.908 22.770.942 22.610.92524.270.95325.570.969

18 19.770.872 23.900.933 23.720.953 23.970.93726.480.96629.240.984

19 21.430.895 24.760.931 25.190.967 25.120.94327.250.97129.550.988

20 20.690.902 22.710.934 22.800.951 23.020.94124.440.96124.180.967