TABLE 4

Effect of Adding Filtered Error Term Image to Predictable Image

		Prediction region
		Low count level			Intermediate count level			High count level
Block size	n	3 × 3*	3 × 3	5 × 5	3 × 3*	3 × 3	5 × 5	3 × 3*	3 × 3	5 × 5
5 × 5	0	1.05	0.97	—	3.12	2.99	—	10.47	10.62	—
	1	0.95	0.91	—	2.79	2.57	—	9.25	9.20	—
	2	0.85	0.88	—	2.23	2.32	—	7.12	7.87	—
6 × 6	0	1.01	0.92	3.51	3.00	2.91	26.05	10.28	10.44	40.69
	1	0.92	0.86	6.13	2.71	2.49	28.05	9.19	8.85	58.47
	2	0.84	0.83	5.15	2.19	2.23	143.63	7.25	7.61	40.92
7 × 7	0	1.00	0.91	1.00	3.00	2.97	3.26	10.35	10.50	11.29
	1	0.91	0.85	0.94	2.73	2.56	2.72	9.31	8.95	9.15
	2	0.85	0.81	0.93	2.22	2.26	2.50	7.45	7.75	8.25
8 × 8	0	1.01	0.93	0.94	3.06	3.05	3.20	10.63	10.85	11.06
	1	0.92	0.86	0.89	2.80	2.63	2.69	9.61	9.31	9.20
	2	0.85	0.82	0.87	2.27	2.33	2.47	7.75	8.10	8.16
9 × 9	0	0.99	0.91	0.96	3.04	3.02	3.14	10.67	10.69	11.02
	1	0.91	0.85	0.89	2.79	2.61	2.67	9.66	9.21	9.26
	2	0.85	0.82	0.85	2.29	2.34	2.42	7.87	8.08	8.34
10 × 10	0	1.01	0.94	0.94	3.12	3.14	3.15	11.08	11.39	10.83
	1	0.93	0.87	0.88	2.87	2.73	2.71	10.04	9.83	9.16
	2	0.86	0.82	0.85	2.33	2.43	2.47	8.14	8.66	8.19
11 × 11	0	1.00	0.94	0.96	3.12	3.14	3.16	11.15	11.36	10.90
	1	0.92	0.87	0.89	2.87	2.72	2.72	10.02	9.84	9.27
	2	0.86	0.83	0.85	2.34	2.43	2.47	8.24	8.67	8.31
12 × 12	0	1.01	0.96	0.97	3.15	3.23	3.18	11.38	11.88	11.07
	1	0.93	0.89	0.90	2.91	2.81	2.75	10.28	10.37	9.52
	2	0.87	0.84	0.85	2.38	2.52	2.51	8.38	9.09	8.49

n = number of summed error term images before filtering; 3 × 3* = prediction region of 4 orthogonal neighbors of predicted pixel; — = modeling not possible because prediction region = block size.
Block sizes and other prediction regions are squares in pixels.