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

Table 4

Performance of the accelerated prediction method for range blocks.

Images		Lena	Barbara	Boat	Peppers	Baboon
Jacquin’s [1]	Predicted (dB)	29.95	25.07	26.78	29.82	21.70
	Decoded (dB)	30.03	24.80	26.97	29.64	21.64
	Deviation (dB)	0.08	0.27	0.19	0.18	0.06
	Computations needed	52.20%	49.81%	57.72%	57.59%	62.96%
	Time (s)	5.61	5.36	6.17	6.17	6.74
Lai’s [8]	Predicted (dB)	29.60	24.54	26.17	29.66	21.44
	Decoded (dB)	29.49	24.50	26.00	29.47	21.53
	Deviation (dB)	0.11	0.04	0.17	0.19	0.09
	Computations needed	50.76%	48.44%	55.27%	56.76%	62.09%
	Time (s)	2.28	2.17	2.36	2.50	2.63
He’s [9]	Predicted (dB)	29.83	24.61	26.59	29.63	21.51
	Decoded (dB)	29.53	24.36	26.39	29.49	21.49
	Deviation (dB)	0.30	0.25	0.20	0.14	0.02
	Computations needed	51.69%	48.66%	56.93%	56.62%	62.33%
	Time (s)	2.36	2.28	2.52	2.59	2.86
Wang’s [10]	Predicted (dB)	29.75	24.75	26.51	29.59	21.53
	Decoded (dB)	29.47	24.46	26.39	29.24	21.49
	Deviation (dB)	0.27	0.29	0.12	0.35	0.04
	Computations needed	51.54%	49.02%	56.59%	56.45%	62.35%
	Time (s)	2.42	2.34	2.66	2.66	2.95