Research Article

Prediction of the PSNR Quality of Decoded Images in Fractal Image Coding

Table 2

Performance of the proposed prediction method for range blocks.

ImagesLenaBarbaraBoatPeppersBaboon

Jacquin’s [1] Predicted (dB)29.8825.1226.7429.6721.67
Decoded (dB)30.0324.8026.9729.6421.64
Deviation (dB)0.150.320.230.030.03
Time (s)10.6910.6910.6610.6710.66

Lai’s [8] Predicted (dB)29.4224.4925.9929.4621.39
Decoded (dB)29.4924.5026.0029.4721.53
Deviation (dB)0.070.010.010.010.14
Time (s)4.364.314.204.304.17

He’s [9] Predicted (dB)29.4524.4426.3229.3821.45
Decoded (dB)29.5324.3626.3929.4921.49
Deviation (dB)0.080.080.070.110.04
Time (s)4.534.584.444.504.50

Wang’s [10] Predicted (dB)29.3624.6226.2429.3421.47
Decoded (dB)29.4724.4626.3929.2421.49
Deviation (dB)0.110.160.150.100.02
Time (s)4.564.644.584.614.63