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

Table 3

Performance of the accelerated prediction method for range blocks.

Images		Lena	Barbara	Boat	Peppers	Baboon
Jacquin’s [1]	Predicted (dB)	36.53	29.73	33.27	35.75	26.67
	Decoded (dB)	36.67	29.47	33.41	35.95	26.52
	Deviation (dB)	0.14	0.26	0.14	0.20	0.15
	Computations needed	69.73%	49.03%	72.15%	73.32%	69.56%
	Time (s)	45.31	31.97	46.38	47.39	45.30
Lai’s [8]	Predicted (dB)	35.73	28.50	31.86	34.38	25.24
	Decoded (dB)	35.77	28.45	31.79	34.51	25.06
	Deviation (dB)	0.04	0.05	0.07	0.13	0.18
	Computations needed	66.23%	45.70%	66.64%	67.98%	64.90%
	Time (s)	4.92	3.41	4.88	4.97	4.70
He’s [9]	Predicted (dB)	35.91	28.37	32.49	34.94	25.73
	Decoded (dB)	35.81	28.28	32.50	35.04	25.33
	Deviation (dB)	0.10	0.09	0.01	0.10	0.40
	Computations needed	66.92%	45.37%	69.15%	70.21%	66.52%
	Time (s)	5.69	3.89	5.88	6.02	5.59
Wang’s [10]	Predicted (dB)	36.04	28.72	32.59	35.03	25.94
	Decoded (dB)	36.16	28.69	32.69	35.16	25.54
	Deviation (dB)	0.12	0.03	0.10	0.13	0.40
	Computations needed	67.83%	46.29%	69.65%	70.57%	67.21%
	Time (s)	5.59	3.97	5.81	5.86	5.70